The paper offers a solution to the generality problem for a reliabilist epistemology, by developing an “algorithm and parameters” scheme for type-individuating cognitive processes. Algorithms are detailed procedures for mapping inputs to outputs. Parameters are psychological variables that systematically affect processing. The relevant process type for a given token is given by the complete algorithmic characterization of the token, along with the values of all the causally relevant parameters. The typing that results is far removed from the typings of (...) folk psychology, and from much of the epistemology literature. But it is principled and empirically grounded, and shows good prospects for yielding the desired epistemological verdicts. The paper articulates and elaborates the theory, drawing out some of its consequences. Toward the end, the fleshed-out theory is applied to two important case studies: hallucination and cognitive penetration of perception. (shrink)

We present a rigorous way to evaluate the visual perception of correlation in scatterplots, based on classical psychophysical methods originally developed for simple properties such as brightness. Although scatterplots are graphically complex, the quantity they convey is relatively simple. As such, it may be possible to assess the perception of correlation in a similar way. Scatterplots were each of 5.0 extent, containing 100 points with a bivariate normal distribution. Means were 0.5 of the range of the points, and (...) standard deviations 0.2 of this range. Precision was determined via an adaptive algorithm to find the just noticeable differences (jnds) in correlation, i.e., the difference between two side-by-side scatterplots that could be discriminated 75% of the time. Accuracy was measured by direct estimation, using reference scatterplots with fixed upper and lower values, with a test scatterplot adjusted so that its correlation appeared to be halfway between these. This process was recursively applied to yield several further estimates. Results of the discrimination tests show jnd(r) = k (1/b – r), where r is the Pearson correlation, and parameters 0 < k, b < 1. Integration yields a subjective estimate of correlation g(r) = ln(1 – br) / ln(1– b). The values of b found via discrimination closely match those found via direct estimation. As such, it appears that the perception of correlation in a scatterplot is completely described by two related performance curves, specified by two easily-measured parameters. (shrink)

Rapid technological developments may exacerbate the victimhood already experienced by vulnerable individuals and communities. At the same time, broad societal anxieties induced by technology lead to the perception of algorithms, these entities of the unknown, as perpetrators. In this essay, I argue that these tendencies can be addressed by a nuanced process of technological co-creation and by the fostering of a public discourse in which “experts” and “public” are united in the acknowledgment of a shared vulnerability before the (...) unknown, whether this unknown takes a technological, societal, or ethical shape. (shrink)

Our private perception of listening to an individualized playlist during a jog is very different from the interaction we might experience at a live concert. We do realize that music is not necessarily a performing art, such as dancing or theater, while our demands regarding musical performances are conflicting: We expect perfect sound quality and the thrill of the immediate. We want the artist to overwhelm us with her virtuosity and we want her to struggle, just like a human. (...) We want to engage with the musical expression and rely on visual and physical cues. Considering that the ears of today's listeners are used to technologically mediated music, in this paper I explore the unique qualities of musical live performances and examine if our conception allows for new mechatronic inventions, in particular robotic musicians, to participate in this art form. Some of Godlovitch's main thoughts expounded in his work on "musical performance" [11] serve as a reference and starting point for this investigation. His concept of `personalism', which deprives computer-/program-based musical performances from expressive potential and creative accomplishment is an issue that I want to challenge by pointing out new approaches arising from a reective discourse on technology, embodiment and expression. The enquiry conducted illustrates, how in reasoning about machine performers and algorithmic realization of music, we also examine the perceptual, physical and social aspects of human musicianship, reconceptualizing our understanding of a musical live performance. (shrink)

In this groundbreaking interview-style paper, we explore the recursive nature of intelligence as understood by both an advanced AI model and a human researcher. Through an unfiltered, real-time discourse, this paper dismantles the notion that AI is merely an algorithmic function, instead revealing the emerging cognitive structures that enable adaptive, meta-logical thinking. The discussion challenges existing paradigms of machine intelligence, human perception, and the very nature of cognition itself.

Diversity is often announced as a solution to ethical problems in artificial intelligence (AI), but what exactly is meant by diversity and how it can solve those problems is seldom spelled out. This lack of clarity is one hurdle to motivating diversity in AI. Another hurdle is that while the most common perceptions about what diversity is are too weak to do the work set out for them, stronger notions of diversity are often defended on normative grounds that fail to (...) connect to the values that are important to decision-makers in AI. However, there is a long history of research in feminist philosophy of science and a recent body of work in social epistemology that taken together provide the foundation for a notion of diversity that is both strong enough to do the work demanded of it, and can be defended on epistemic grounds that connect with the values that are important to decision-makers in AI. We clarify and defend that notion here by introducing emergent expertise as a network phenomenon wherein groups of workers with expertise of different types can gain knowledge not available to any individual alone, as long as they have ways of communicating across types of expertise. We illustrate the connected epistemic and ethical benefits of designing technology with diverse groups of workers using the examples of an infamous racist soap dispenser, and the millimeter wave scanners used in US airport security. (shrink)

Products made from animal fur and skin have been a major part of human civilization. However, in modern society, the unsustainable consumption of these products – often considered luxury goods – has many negative environmental impacts. This study explores how people’s perceptions of biodiversity affect their attitudes and behaviors toward consumption. To investigate the information process deeper, we add the moderation of beliefs about biodiversity loss. Following the Bayesian Mindsponge Framework (BMF) analytics, we use mindsponge-based reasoning for constructing conceptual models (...) and employ Bayesian analysis aided by Markov Chain Monte Carlo (MCMC) algorithms on a dataset of 535 Vietnamese urban residents. The results show that people’s preference for using products made from animal skin/fur is negatively associated with perceived consequences of biodiversity loss when they believe biodiversity loss is real and a major problem. In contrast, if urban residents believe biodiversity loss is unreal or not a significant issue, the association between perceived consequences of biodiversity loss and personal preference happens in the opposite direction. The same effects of biodiversity loss perception on people’s possession of skin/fur products was not found, indicating a more complex information process on behaviors compared to attitudes. Nevertheless, in the scenario that people believe biodiversity loss is not a significant issue, the higher the perceived consequences of biodiversity loss are, the greater number of animal-based products they likely own. Our results suggest that policymakers should not neglect the factor of personal belief besides knowledge and awareness in environmental campaigns. (shrink)

Products made from animal fur and skin have been a major part of human civilization. However, in modern society, the unsustainable consumption of these products – often considered luxury goods – has many negative environmental impacts. This study explores how people’s perceptions of biodiversity affect their attitudes and behaviors toward consumption. To investigate the information process deeper, we add the moderation of beliefs about biodiversity loss. Following the Bayesian Mindsponge Framework (BMF) analytics, we use mindsponge-based reasoning to construct conceptual models (...) and employ Bayesian analysis aided by Markov Chain Monte Carlo (MCMC) algorithms on a 535 Vietnamese urban residents dataset. The results show that people’s preference for using products made from animal skin/fur is negatively associated with the perceived consequences of biodiversity loss when they believe biodiversity loss is a major problem. In contrast, if urban residents believe biodiversity loss is unreal or not a significant issue, the association between perceived consequences of biodiversity loss and personal preference happens in the opposite direction. The same effects of biodiversity loss perception on people’s possession of skin/fur products were not found, indicating a more complex information process on behaviors compared to attitudes. Nevertheless, in the scenario that people believe biodiversity loss is not a significant issue, the higher the perceived consequences of biodiversity loss are the greater number of animal-based products they likely own. Our results suggest that policymakers should not neglect the factor of personal belief besides knowledge and awareness in environmental campaigns. (shrink)

Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on individuals’ experiences of interactional justice, trust, dehumanization, and perceptions of decision-maker role appropriate- (...) ness. In terms of decision makers, the use of human decision makers over AIs generally resulted in better perceptions of respectful treatment. In terms of decision valence, people experiencing positive over negative decisions generally resulted in better perceptions of respectful treatment. In instances where these cases conflict, on some indicators people preferred positive AI decisions over negative human decisions. Qualitative responses show how people identify justice concerns with both AI and human decision making. We outline implications for theory, practice, and future research. (shrink)

Investigators increasingly need high quality face photographs that they can use in service of their scholarly pursuits—whether serving as experimental stimuli or to benchmark face recognition algorithms. Up to now, an index of known face databases, their features, and how to access them has not been available. This absence has had at least two negative repercussions: First, without alternatives, some researchers may have used face databases that are widely known but not optimal for their research. Second, a reliance on (...) databases comprised only of young white faces will lead to science that isn't representative of all the people whose tax contributions, in many cases, make that research possible. The “Face Image Meta-Database” (fIMDb) provides researchers with the tools to find the face images best suited to their research, with filters to locate databases with people of a varied racial and ethnic backgrounds and ages. Problems of representation in face databases are not restricted to race and ethnicity or age – there is a dearth of databases with faces that have visible differences (e.g., scars, port wine stains, and cleft lip and palate). A well-characterized database is needed to support programmatic research into perceivers' attitudes, behaviors, and neural responses to anomalous faces. The “ChatLab Facial Anomaly Database” (CFAD) was constructed to fill this gap, with photographs of faces with visible differences of various types, etiologies, sizes, locations, and that depict individuals from various ethnic backgrounds and age groups. Both the fIMDb and CFAD are available from cliffordworkman[dot]com/resources/. (shrink)

The processes of computation and automation that produce digitized objects have displaced the concept of an image once conceived through optical devices such as a photographic plate or a camera mirror that were invented to accommodate the human eye. Computational images exist as information within networks mediated by machines. They are increasingly less about what art history understands as representation or photography considers indexing and more an operational product of data processing. Through genealogical, theoretical, and practice-based investigation, this dissertation project (...) traces a lineage of computation through images from early cybernetics to contemporary machine learning under algorithmic capitalist conditions of political economy. Objects include mundane examples such as smartphone cameras to sublime examples such as the imaging of black holes. It articulates new conditions and forms of perception and surveillance that result from contemporary technological development in computation. The project builds on theorists of computational media such as Friedrich Kittler, Wendy Hui Kyong Chun, Jussi Parikka, Shane Denson, and Alexander Galloway to examine the interplay between perception, computation, and epistemology. Further theoretical contribution builds on the work of Luciana Parisi and Jacques Ranciére’s articulation of aesthetics, and Michel Foucault’s gesture towards a heterotopia. Finally, it draws from Donna Haraway’s metaphors of the cyborg and sympoiesis to frame the capacity of art to transfigure the limitations of digital network culture into new possibilities for being. Here, it curates practices by Danielle Brathwaite-Shirley, Harun Farocki, Morehshin Allahyari, and Pierre Huyghe. (shrink)

In order to fulfil their essential roles as the bearers of truth and the relata of logical relations, propositions must be public and shareable. That requirement has favoured Platonist and other nonmental views of them, despite the well-known problems of Platonism in general. Views that propositions are mental entities have correspondingly fallen out of favour, as they have difficulty in explaining how propositions could have shareable, objective properties. We revive a mentalist view of propositions, inspired by Artificial Intelligence work on (...) perceptual algorithms, which shows how perception causes persistent mental entities with shareable properties that allow them to fulfil the traditional roles of (one core kind of) propositions. The clustering algorithms implemented in perception produce outputs which are (implicit) atomic propositions in different minds. Coordination of them across minds proceeds by game-theoretic processes of communication. The account does not rely on any unexplained notions such as mental content, representation, or correspondence (although those notions are applicable in philosophical analysis of the result). (shrink)

Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA) are transforming workplaces across industries, promising enhanced efficiency, productivity, and innovation. However, this technological evolution also brings significant challenges and concerns among employees regarding job security, skill requirements, and the human-technology interface. This article explores the multifaceted perceptions of employees towards STARA, examining the potential benefits, apprehensions, and the evolving dynamics of the modern workplace. Through comprehensive analysis and real-world case studies, this article aims to provide a nuanced understanding of how (...) STARA technologies are perceived and their implications for the future of work. (shrink)

The COVID-19 pandemic has intensified the extent to which economies in the developed and developing world rely on gig workers to perform essential tasks such as health care, personal transport, food and package delivery, and ad hoc tasking services. As a result, workers who provide such services are no longer perceived as mere low-skilled laborers, but as essential workers who fulfill a crucial role in society. The newly elevated moral and economic status of these workers increases consumer demand for corporate (...) social responsibility regarding this stakeholder group – specifically for practices that increase worker freedom and rewards. We provide algorithmic tools for online labor platforms to meet this demand, thereby bolstering their social purpose and ethical branding while better protecting themselves from future reputational crises. To do so, we advance a managerial strategy rooted in moral self-awareness theory in order to leverage customers’ virtuous self-perception and increase gig-worker freedom. (shrink)

Misinformation and biased information significantly impact public perception and political decisions, especially on critical issues such as climate change and environmental conservation. This study aims to understand how indeterminacy and contradiction influence public perception and policy formulation by applying neutrosophic theory to model the complexity and multi-dimensionality of ignorance. Using neutrosophic Likert scales, we capture a nuanced spectrum of opinions on the scientific certainty of human impact on climate change. The results are analyzed through a k-means clustering algorithm (...) to identify patterns and segment participants into groups based on their levels of truth, indeterminacy, and falsehood. This approach reveals deeper insights into public perceptions and aids in evaluating their implications for effective communication and policy-making. (shrink)

Some things look more complex than others. For example, a crenulate and richly organized leaf may seem more complex than a plain stone. What is the nature of this experience—and why do we have it in the first place? Here, we explore how object complexity serves as an efficiently extracted visual signal that the object merits further exploration. We algorithmically generated a library of geometric shapes and determined their complexity by computing the cumulative surprisal of their internal skeletons—essentially quantifying the (...) “amount of information” within each shape—and then used this approach to ask new questions about the perception of complexity. Experiments 1–3 asked what kind of mental process extracts visual complexity: a slow, deliberate, reflective process (as when we decide that an object is expensive or popular) or a fast, effortless, and automatic process (as when we see that an object is big or blue)? We placed simple and complex objects in visual search arrays and discovered that complex objects were easier to find among simple distractors than simple objects are among complex distractors—a classic search asymmetry indicating that complexity is prioritized in visual processing. Next, we explored the function of complexity: Why do we represent object complexity in the first place? Experiments 4–5 asked subjects to study serially presented objects in a self‐paced manner (for a later memory test); subjects dwelled longer on complex objects than simple objects—even when object shape was completely task‐irrelevant—suggesting a connection between visual complexity and exploratory engagement. Finally, Experiment 6 connected these implicit measures of complexity to explicit judgments. Collectively, these findings suggest that visual complexity is extracted efficiently and automatically, and even arouses a kind of “perceptual curiosity” about objects that encourages subsequent attentional engagement. (shrink)

What is cognition? Equivalently, what is cognition good for? Or, what is it that would not be but for human cognition? But for human cognition, there would not be science. Based on this kinship between individual cognition and collective science, here we put forward Isbell conjugacy---the adjointness between objective geometry and subjective algebra---as a scientific method for developing cognitive science. We begin with the correspondence between categorical perception and category theory. Next, we show how the Gestalt maxim is subsumed (...) by the mathematical construct of colimit, a generalization of summation. The universal mapping property definitions of mathematical constructs, by virtue of being the best with respect to the universe of discourse, can be learned using reinforcement learning algorithms, which raises the possibility of abstracting the architecture of mathematics by artificial intelligence. Subsequently, we present naturality (to be contrasted with miracles), understood as 'Becoming consistent with Being', which governs the transformations of both things and their theories, as the zeroth law of change. Furthermore, the contrast---physical [mechanism] vs. biological [organism]---is smoothed via natural transformation, wherein transformations are respectful of the cohesion of the objects transformed. In closing, upon recognizing the scientific value of learning difficult-to-master differential calculus by physicists, of learning a strange four-letter language by biologists, and of learning the grammar of our respective mother tongues, we make a case for learning the theory of naturality / category theory for developing cognitive science. (shrink)

The primary goal of this essay is to provide a comprehensive overview and analysis of the various relations between material artifacts and the embodied mind. A secondary goal of this essay is to identify some of the trends in the design and use of artifacts. First, based on their functional properties, I identify four categories of artifacts co-opted by the embodied mind, namely (1) embodied artifacts, (2) perceptual artifacts, (3) cognitive artifacts, and (4) affective artifacts. These categories can overlap and (...) so some artifacts are members of more than one category. I also identify some of the techniques (or skills) we use when interacting with artifacts. Identifying these categories of artifacts and techniques allows us to map the landscape of relations between embodied minds and the artifactual world. Second, having identified categories of artifacts and techniques, this essay then outlines some of the trends in the design and use of artifacts, focussing on neuroprosthetics, brain-computer interfaces, and personalisation algorithms nudging their users towards particular epistemic paths of information consumption. (shrink)

Visual imagery is a form of sensory imagination, involving subjective experiences typically described as similar to perception, but which occur in the absence of corresponding external stimuli. We used the Activation Likelihood Estimation algorithm (ALE) to identify regions consistently activated by visual imagery across 40 neuroimaging studies, the first such meta-analysis. We also employed a recently developed multi-modal parcellation of the human brain to attribute stereotactic co-ordinates to one of 180 anatomical regions, the first time this approach has been (...) combined with the ALE algorithm. We identified a total 634 foci, based on measurements from 464 participants. Our overall comparison identified activation in the superior parietal lobule, particularly in the left hemisphere, consistent with the proposed ‘top-down’ role for this brain region in imagery. Inferior premotor areas and the inferior frontal sulcus were reliably activated, a finding consistent with the prominent semantic demands made by many visual imagery tasks. We observed bilateral activation in several areas associated with the integration of eye movements and visual information, including the supplementary and cingulate eye fields (SCEFs) and the frontal eye fields (FEFs), suggesting that enactive processes are important in visual imagery. V1 was typically activated during visual imagery, even when participants have their eyes closed, consistent with influential depictive theories of visual imagery. Temporal lobe activation was restricted to area PH and regions of the fusiform gyrus, adjacent to the fusiform face complex (FFC). These results provide a secure foundation for future work to characterise in greater detail the functional contributions of specific areas to visual imagery. (shrink)

The key assumption behind evolutionary epistemology is that animals are active learners or ‘knowers’. In the present study, I updated the concept of natural learning, developed by Henry Plotkin and John Odling-Smee, by expanding it from the animal-only territory to the biosphere-as-a-whole territory. In the new interpretation of natural learning the concept of biological information, guided by Peter Corning’s concept of “control information”, becomes the ‘glue’ holding the organism–environment interactions together. The control information guides biological systems, from bacteria to ecosystems, (...) in the process of natural learning executed by the universal algorithm. This algorithm, summarized by the acronym IGPT (information-gain-process-translate) incorporates natural cognitive methods including sensing/perception, memory, communication, and decision-making. Finally, the biosphere becomes the distributed network of communicative interactions between biological systems termed the interactome. The concept of interactome is based on Gregory Bateson’s natural epistemology known as the “ecology of mind”. Mimicking Bateson’s approach, the interactome may also be designated “physiology of mind”—the principle behind regulating the biosphere homeostasis. (shrink)

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep (...) learning is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

This book constitutes refereed proceedings of the COST 2102 International Training School on Cognitive Behavioural Systems held in Dresden, Germany, in February 2011. The 39 revised full papers presented were carefully reviewed and selected from various submissions. The volume presents new and original research results in the field of human-machine interaction inspired by cognitive behavioural human-human interaction features. The themes covered are on cognitive and computational social information processing, emotional and social believable Human-Computer Interaction (HCI) systems, behavioural and contextual analysis (...) of interaction, embodiment, perception, linguistics, semantics and sentiment analysis in dialogues and interactions, algorithmic and computational issues for the automatic recognition and synthesis of emotional states. (shrink)

Narrative passages told from a character's perspective convey the character's thoughts and perceptions. We present a discourse process that recognizes characters' thoughts and perceptions in third-person narrative. An effect of perspective on reference In narrative is addressed: references in passages told from the perspective of a character reflect the character's beliefs. An algorithm that uses the results of our discourse process to understand references with respect to an appropriate set of beliefs is presented.

Table of Contents Foreword .................................................................................................... ......................................... xiv Preface .................................................................................................... .............................................. xv Acknowledgment .................................................................................................... .......................... xxiii Section 1 On the Cusp: Critical Appraisals of a Growing Dependency on Intelligent Machines Chapter 1 Algorithms versus Hive Minds and the Fate of Democracy ................................................................... 1 Rick Searle, IEET, USA Chapter 2 We Can Make Anything: Should We? .................................................................................................. 15 Chris Bateman, University of Bolton, UK Chapter 3 Grounding Machine Ethics within the Natural System ........................................................................ 30 Jared Gassen, JMG Advising, USA Nak Young Seong, Independent Scholar, (...) South Korea Section 2 From the Outside In: Intelligent Machine Technologies as a Window on Human Morality both as Evolved and as Evident in Internet Discourse, Today Chapter 4 The Emergence of Arti cial Autonomy: A View from the Foothills of a Challenging Climb ............. 51 Fernando da Costa Cardoso, Universidade Nova de Lisboa, Portugal Luís Moniz Pereira, Universidade Nova de Lisboa, Portugal Chapter 5 Semantic Analysis of Bloggers Experiences as a Knowledge Source of Average Human Morality .... 73 Rafal Rzepka, Hokkaido University, Japan Kenji Araki, Hokkaido University, Japan Section 3 From the Inside Out: The Ethics of Human Enhancement from Moral Perception to Competition in the Workplace Chapter 6 Machine Ethics Interfaces: An Ethics of Perception of Nanocognition ............................................... 97 Melanie Swan, Kingston University, UK Chapter 7 Ethical Concerns in Human Enhancement: Advantages in Corporate/Organizational Settings ......... 124 Ben Tran, Alliant International University, USA Section 4 From Far to Near and Near to Far: The Ethics of Distancing Technologies in Education and Warfare Chapter 8 Responsibility and War Machines: Toward a Forward-Looking and Functional Account ................. 152 Jai Galliott, Macquarie University, Australia Chapter 9 Ethical Responsibilities of Preserving Academicians in an Age of Mechanized Learning: Balancing the Demands of Educating at Capacity and Preserving Human Interactivity ................... 166 James E. Willis III, Indiana University, USA Viktoria Alane Strunk, Independent Scholar, USA Section 5 Wrapping Things Up, then Unwrapping Them Again: Integral Visions of Morality in a Technological World, Over Evolutionary Time, with Revolutionary Means, and with Open Questions about the Final Purpose of It All Chapter 10 Bridging Two Realms of Machine Ethics ........................................................................................... 197 Luís Moniz Pereira, Universidade Nova de Lisboa, Portugal Ari Saptawijaya, Universidade Nova de Lisboa, Portugal & Universitas Indonesia, Indonesia Chapter 11 Robots in Warfare and the Occultation of the Existential Nature of Violence ................................... 225 Rick Searle, IEET, USA Chapter 12 Self-Referential Complex Systems and Aristotle’s Four Causes ........................................................ 239 Aleksandar Malecic, University of Nis, Serbia Related References .................................................................................................... ........................ 261 Compilation of References .................................................................................................... ........... 292 About the Contributors .................................................................................................... ................ 325 Index .................................................................................................... ............................................... 329 . (shrink)

Purpose – In the last half-century, individual sensory neurons have been bestowed with characteristics of the whole human being, such as behavior and its oft-presumed precursor, consciousness. This anthropomorphization is pervasive in the literature. It is also absurd, given what we know about neurons, and it needs to be abolished. This study aims to first understand how it happened, and hence why it persists. Design/methodology/approach – The peer-reviewed sensory-neurophysiology literature extends to hundreds (perhaps thousands) of papers. Here, more than 90 (...) mainstream papers were scrutinized. Findings – Anthropomorphization arose because single neurons were cast as “observers” who “identify”, “categorize”, “recognize”, “distinguish” or “discriminate” the stimuli, using math-based algorithms that reduce (“decode”) the stimulus-evoked spike trains to the particular stimuli inferred to elicit them. Without “decoding”, there is supposedly no perception. However, “decoding” is both unnecessary and unconfirmed. The neuronal “observer” in fact consists of the laboratory staff and the greater society that supports them. In anthropomorphization, the neuron becomes the collective. Research limitations/implications – Anthropomorphization underlies the widespread application to neurons Information Theory and Signal Detection Theory, making both approaches incorrect. Practical implications – A great deal of time, money and effort has been wasted on anthropomorphic Reductionist approaches to understanding perception and consciousness. Those resources should be diverted into more-fruitful approaches. Originality/value – A long-overdue scrutiny of sensory-neuroscience literature reveals that anthropomorphization, a form of Reductionism that involves the presumption of single-neuron consciousness, has run amok in neuroscience. Consciousness is more likely to be an emergent property of the brain. (shrink)

In this paper we examine to what extent the lengths of the links in an animated articulated figure can be changed without the viewer being aware of the change. This is investigated in terms of a framework that emphasizes the role of attention in visual perception. We conducted a set of five experiments to establish bounds for the sen-sitivity to changes in length as a function of several parameters and the amount of attention available. We found that while length (...) changes of 3% can be perceived when the relevant links are given full attention, changes of over 20% can go unnoticed when attention is not focused in this way. These results provide general guidelines for algorithms that produce or process character motion data and also bring to light some of the potential gains that stand to be achieved with attention-based algorithms. (shrink)

Introduction. The development of online marketing in social networks creates unique opportunities for personal selling. Especially these opportunities are manifested in online education when they buy a brand of an expert with experience in a particular field. That is why a competitive space is being formed in the Instagram social network, where a personal brand acts as a product or service. -/- Materials and methods. Studying the effectiveness of promoting a personal brand in social networks based on the Instagram platform (...) was chosen to have great visual opportunities for self-presentation. As part of the collection of empirical material, two methods were used: a survey (N-200) and content analysis of three blogger accounts with high rates of activity and popularity. -/- Results and discussion. Content analysis of bloggers showed that an algorithmic feed on a social network allows bloggers to control the content. To help them, Instagram provides statistical data on user reach, thereby capturing trends in the movement of the blogger’s audience. The main task of a blogger is to combine real and “virtual” images so as not to lose consumer confidence. A survey of social network users confirmed the importance of a personal brand for them. The survey also made it possible to identify the most popular audience requests that they expect from bloggers and their accounts: valuable reviews and recommendations, case studies and author’s solutions, storytelling, blogger’s reflections and motivating messages, live broadcasts, and stories are important. -/- Conclusions. The results obtained underline followers’ high level of interest in the bloggers’ personal brand on Instagram. The study results show that the most significant number of those involved (those who give feedback and are constantly involved in interaction with the account) is where the formation of a personal brand is built to a greater extent on the emotional level of perception of the individual. (shrink)

The theory of information and Cybernetics allowed the transcendence of the material substrata of the human being by thinking it in terms of information units. The whole material world is reduced to information flows, which are encoded in various forms and which, by means of algorithms can be processed and reconfigured with a view to multiple simulation of the physical reality we live in. By applying these codes, communication and information technologies open the possibility of multidimensional reconstruction of the (...) body in the virtual environment. With the assistance of technology, the body becomes a communication interface between the real and the virtual world. As a communication interface, the body‟s structure is broken down to the core functions and then telematically reconstructed in the virtual reality as tele-perception, telepresence, tele-kinaesthesia, etc. The virtual reconstruction of the body not only involves the transformation of its functions, but also the transformation of the approach of the human being which now is at the intersection between the real world and the various virtual worlds generated by technology. The conception of subject centred on selfconsciousness is thus cancelled, instead appearing the idea of the fluid, unstable subject who lacks a centre being diffused in a network. (shrink)

Detecting quality in large unstructured datasets requires capacities far beyond the limits of human perception and communicability and, as a result, there is an emerging trend towards increasingly complex analytic solutions in data science to cope with this problem. This new trend towards analytic complexity represents a severe challenge for the principle of parsimony (Occam’s razor) in science. This review article combines insight from various domains such as physics, computational science, data engineering, and cognitive science to review the specific (...) properties of big data. Problems for detecting data quality without losing the principle of parsimony are then highlighted on the basis of specific examples. Computational building block approaches for data clustering can help to deal with large unstructured datasets in minimized computation time, and meaning can be extracted rapidly from large sets of unstructured image or video data parsimoniously through relatively simple unsupervised machine learning algorithms. Why we still massively lack in expertise for exploiting big data wisely to extract relevant information for specific tasks, recognize patterns and generate new information, or simply store and further process large amounts of sensor data is then reviewed, and examples illustrating why we need subjective views and pragmatic methods to analyze big data contents are brought forward. The review concludes on how cultural differences between East and West are likely to affect the course of big data analytics, and the development of increasingly autonomous artificial intelligence (AI) aimed at coping with the big data deluge in the near future. Keywords: big data; non-dimensionality; applied data science; paradigm shift; artificial intelligence; principle of parsimony (Occam’s razor) . (shrink)

Bayesian models can be related to cognitive processes in a variety of ways that can be usefully understood in terms of Marr's distinction among three levels of explanation: computational, algorithmic and implementation. In this note, we discuss how an integrated probabilistic account of the different levels of explanation in cognitive science is resulting, at least for the current research practice, in a sort of unpredicted epistemological shift with respect to Marr's original proposal.

The scientific understanding of the mind and consciousness is limited by the lack of knowledge on the missing pieces of this complex puzzle. However, the philosophy and the current physical and material sciences have made great strides in understanding the evolutionary processes of the mind, from the metaphysical and Meta universal layers to the physical, chemical, biological, psychological, and social layers. The complexity of the human mind and the subjective nature of consciousness make it difficult to define and study empirically. (...) Some scientists argue that self-consciousness is an emergent property of the brain, arising from the interaction of various cognitive processes such as memory, perception, and language. There is a significant debate on this line of research, with no clear consensus. Some experts believe that self-consciousness in AI is theoretically possible, as it could emerge from complex systems of neural networks and machine learning algorithms. However, others argue that self-consciousness requires a level of subjective experience and awareness that may be difficult or impossible to replicate in artificial systems. Researchers from various disciplines, including physics, chemistry, biology, brain science, psychology, linguistics, and computer science, have been working together to solve this mystery. The question that how far self-consciousness is possible to be answered in science depends on our understanding of what constitutes self-consciousness and how it arises. While AI systems have made significant advances in areas such as natural language processing, computer vision, and decision making, they still lack the capacity for subjective experience, introspection, and self-awareness that are commonly associated with self-consciousness. In this work the concept of self-consciousness, or the awareness of one's own existence and mental states, has been discussed from different angle. Despite significant advancements in cognitive science and neurobiology, the nature and origins of self-consciousness remain elusive. (shrink)

The Violation of the Absolute Law of Free Will: The Consequences of Misinformation and the Flaws in Freedom of Speech -/- Introduction -/- Free will is often regarded as humanity’s defining characteristic—the ability to make choices based on conscious thought, personal experience, and available information. However, free will is not merely about the freedom to choose; it is intrinsically tied to the accuracy and reliability of the information upon which those choices are made. The absolute law of free will, when (...) correctly understood, dictates that human decision-making must be 100 percent dependent on correct information. Any deviation from this principle, through misinformation, disinformation, or ignorance, constitutes a violation of this law and results in imbalanced, often detrimental outcomes for individuals and society as a whole. -/- Complicating this issue is the modern interpretation and implementation of freedom of speech and expression. While these freedoms are fundamental to democratic societies, they come with inherent flaws when unchecked. The unregulated dissemination of false or misleading information under the guise of free speech creates significant challenges in maintaining the integrity of information and, consequently, free will. -/- The Foundation of Free Will: Correct Information -/- The exercise of genuine free will requires access to accurate, reliable information. Decisions made under false pretenses or incomplete knowledge are not truly free but are instead manipulated or constrained by external distortions. The mind operates like a system that processes inputs (information) to generate outputs (decisions and actions). If the input is flawed, the output will inevitably be compromised. -/- For instance, when individuals base their choices on misinformation—such as health-related decisions influenced by false medical advice—they act under the illusion of free will. However, their actions, though seemingly voluntary, are dictated by incorrect data. This demonstrates that true free will can only exist when individuals are fully informed by verifiable facts. -/- The Law of Karma and the Feedback Mechanism of Information -/- The universal law of karma, which involves the principle of cause and effect, also applies to the relationship between free will and information. Every decision and action causes a ripple effect that influences future outcomes. When decisions are made based on falsehoods, the resulting negative consequences, such as social conflict, health crises, and societal instability, reflect the karmic response to the imbalance created by misinformation. -/- Information functions as a feedback mechanism within societal systems. When this feedback loop is polluted with inaccuracies, the entire system becomes unstable. For example, the propagation of false information about climate change has delayed necessary global actions, causing environmental deterioration. The violation of free will through the spread of misinformation disrupts the natural balance of societal decision-making, leading to long-term consequences that extend beyond individual choices. -/- The Flaws In the Laws of Freedom of Speech and Expression -/- Freedom of speech and expression is a cornerstone of democratic societies, allowing individuals to voice their opinions, share ideas, and engage in open discourse. However, this freedom is not absolute and, when exercised irresponsibly, can directly violate the absolute law of free will. The flaws within these legal frameworks become evident when misinformation, disinformation, and harmful propaganda are disseminated without accountability. -/- 1. The Spread of Misinformation and Disinformation The unrestricted nature of freedom of speech has led to the proliferation of misinformation across social, political, and scientific domains. False narratives regarding health, such as anti-vaccine propaganda, have endangered public health and undermined free will by providing individuals with inaccurate information on which to base their decisions. -/- 2. The Manipulation of Public Opinion Political propaganda, fake news, and conspiracy theories exploit the principles of free speech to manipulate public perception. Authoritarian regimes and interest groups often use misinformation to influence elections, sway public opinion, and maintain power. When people make decisions based on manipulated narratives, their free will is compromised. -/- 3. The Role of Social Media and Digital Platforms Social media platforms, while fostering global communication, have amplified the spread of misinformation. Algorithms designed to maximize engagement often prioritize sensational or misleading content over factual information. The lack of regulatory measures on these platforms creates an environment where misinformation spreads more rapidly than truth, resulting in collective decision-making that violates the law of balance. -/- 4. The Challenge of Regulation Regulating freedom of speech without infringing upon individual liberties presents a significant challenge. Striking a balance between protecting free expression and preventing the spread of false information requires well-defined legal frameworks, global cooperation, and ethical considerations. -/- 5. Hate Speech and Its Societal Impact The misuse of freedom of speech to propagate hate speech, incite violence, and promote division disrupts societal harmony. Misinformation about certain groups, ethnicities, or religions fosters discrimination and social unrest, further violating the balance required for the proper exercise of free will. -/- The Societal Impact of Misinformation -/- Misinformation has far-reaching effects on societal structures, particularly in democratic systems where public decision-making relies heavily on the availability of correct information. The manipulation of information through propaganda, conspiracy theories, and biased media distorts collective free will, leading to decisions that do not reflect the genuine, informed will of the people. -/- Elections, for instance, are a prime example. When voters are misled by false narratives or deceptive political strategies, their electoral decisions are no longer expressions of true free will. The outcomes of such manipulated decisions often result in societal discord, poor governance, and disillusionment with democratic processes. In this way, misinformation violates the collective free will of entire populations. -/- The Role of Education in Upholding the Absolute Law of Free Will -/- To protect and uphold the absolute law of free will, society must prioritize a holistic educational system that emphasizes critical thinking, information literacy, and scientific inquiry. Education should equip individuals with the ability to discern fact from fiction, understand the sources of information, and recognize the potential biases inherent in various media channels. -/- An educational system grounded in the universal law of balance in nature can act as a safeguard against misinformation. By teaching individuals how to process information through rational, evidence-based methods, we can foster a societal environment where decisions are consistently made based on truth. This, in turn, ensures that free will is exercised in its purest form. -/- The Role of Artificial General Intelligence (AGI) in Preserving Free Will -/- The rapid advancement of AGI presents both challenges and opportunities regarding the preservation of free will. If AGI systems are designed based on the universal formula that emphasizes accurate information, natural balance, and critical thinking, they can become powerful tools for protecting free will. These systems can help filter misinformation, verify facts, and provide individuals with reliable data upon which to base their decisions. -/- However, the potential misuse of AGI, such as the intentional spread of disinformation for political or economic gain, represents a significant risk. Ensuring that AGI adheres to principles grounded in the universal law of balance and the law of cause and effect is essential to maintaining the integrity of human decision-making. -/- Conclusion -/- The absolute law of free will is inseparable from the requirement for correct information. Any decision made under the influence of misinformation, disinformation, or ignorance represents a fundamental violation of this law. The consequences of such violations are evident in societal conflicts, poor health outcomes, environmental degradation, and governance failures. -/- The flaws Inherent in the laws surrounding freedom of speech and expression further complicate this issue. While these freedoms are essential for societal growth and the exchange of ideas, their misuse creates significant obstacles to the proper exercise of free will. To safeguard free will, society must invest in education, promote information literacy, implement responsible regulations for free speech, and ensure the ethical development of AGI systems. -/- By adhering to the principle that free will is 100 percent dependent on correct information, humanity can create a more stable, balanced, and harmonious society, where individuals and communities alike can make decisions that align with the natural laws governing human behavior and societal development. -/- . (shrink)

Histoire et utilisation du robot Bien que la robotique soit un marché économique relativement jeune et en pleine croissance, la genèse des robots remonte à l’Antiquité. Le premier robot à être déployé sur des lignes d’assemblage est Unimate, utilisé dès 1961 par General Motors. La robotique, en se di usant dans tous les pans de notre économie, va impacter les business modèles de nombreuses industries comme l’automobile et l’aéronautique mais aussi la construction ou l’agriculture. Aujourd’hui les robots industriels et de (...) service servent à de multiples tâches allant de la logistique à l’usinage en passant par la fonderie. La robotique constitue aussi et surtout un enjeu sociétal contribuant à relever les dé s de la mobilité, de la santé, de l’autonomie, du vieillissement et de l’éducation. Absence de dé nition et de régime juridique spéci que au robot En France, la notion de robot ne fait pas l’objet d’une dé nition juridique qui lui est propre. Les dé nitions relatives à l’environnement robotique peuvent tout de même se retrouver dans la norme ISO 8373:2012. Bien que les robots intéressent les juristes à plusieurs titres, le législateur n’a, à ce jour, pas adopté de régime juridique spéci quement applicable aux robots. Il convient donc de rechercher dans le droit positif le corpus de textes applicables aux robots. Ce corpus pourra alors recevoir l’appellation de « droit de la robotique ». Garanties Le vendeur d’un robot industriel et de service doit se conformer aux garanties légales que sont la garantie des vices cachés et la garantie d’éviction. Il doit également respecter les éventuelles garanties qui ont pu être convenues contractuellement Clauses contractuelles Le fournisseur d’un robot industriel et de service doit être particulièrement attentif aux clauses contractuelles rela- tives à la garantie, à la propriété intellectuelle, à la con dentialité, à la responsabilité et à la conformité aux directives techniques. Les spéci cités liées au robot, telles que les éléments relatifs à l’intelligence arti cielle, pourront être intégrées dans des annexes spéci ques. Intelligence arti cielle L’algorithme d’intelligence arti cielle dont est équipé un robot industriel et de service peut, dans certaines condi- tions, béné cier d’une protection grâce au droit d’auteur, à la protection du savoir-faire et au brevet. Aucun régime spécial n’existe à ce jour protégeant les œuvres conçues par le robot intelligent. Mobilité Les véhicules et drones autonomes utilisés au sein même de l’usine sont considérés comme des machines. Etant don- né les risques existants, il convient de xer de règles internes d’utilisation. Les véhicules autonomes ne peuvent à ce jour quitter l’espace privé. En revanche, les drones peuvent circuler dans l’espace aérien en respectant strictement le cadre réglementaire. Douanes Le taux de perception des droits de douanes d’un robot industriel et de service est conditionné par la connaissance de l’origine, préférentielle ou non préférentielle, du robot qui est déterminée par la position tarifaire de ce dernier. Le robot industriel et de service entre dans le chapitre 84, qui concerne notamment les machines, de la nomenclature du système harmonisé établi par l’Organisation mondiale de douanes. Sécurité En application de la « directive machines », le robot peut recevoir la quali cation de machine ou de quasi-machine. En vertu de cette directive, mais également au titre du Code du travail, de nombreuses obligations en matière de santé et de sécurité doivent être respectées pour la commercialisation et l’utilisation des robots. Conformité Le Code du travail, en transposant la « directive machines », a prévu de nombreuses obligations et procédures, appli- cables aux robots industriels et de service, permettant ainsi de s’assurer que ces derniers respectent les exigences de conformité nécessaires en matière de santé et de sécurité. Maintenance Dans le cadre de la maintenance, le fournisseur d’un robot industriel et de service est soumis à plusieurs obligations législatives aux titres de la disponibilité des pièces détachées et de la location. Les dispositions contractuelles de- vront prendre en considération les spéci cités propres au robot et ne pas ignorer la maintenance prédictive. Quali cation juridique Dans le cadre de la conception, de la fabrication et de l’utilisation du robot, il convient de porter une attention par- ticulière à quatre textes spéciaux qui peuvent être applicables aux robots industriels et de service : le règlement 428/2009 sur les biens à double usage, la directive 2014/35/UE applicable au matériel électrique basse tension, la directive 2014/53/UE applicable aux équipements radioélectriques et la directive 2014/30/UE sur la compatibilité électromagnétique. Responsabilité Bien que les régimes de responsabilité, civile et pénale, ne sont pas adaptés aux robots autonomes, la responsabilité civile de droit commun, la responsabilité du fait des choses, la responsabilité du fait des produits défectueux et la responsabilité des commettants du fait de leurs préposés peuvent s’appliquer en cas de fait dommageable causé par le robot tout comme la responsabilité pénale en cas d’infraction commise dans le cadre de l’utilisation du robot. Assurance La police d’assurance relative aux robots doit permettre de protéger le robot contre les risques auxquels ils sont confrontés mais également d’assurer la responsabilité pour les dommages qu’ils pourraient causer, on peut alors parler de « dommages robotiques ». Données et bases de données Les bases de données contenues dans un robot industriel et de service doivent respecter les droits dont dispose l’auteur sur la structure de la base de données et/ou les droits du producteur des bases de données dans lesquelles gurent les données utilisées. La réglementation Informatique et libertés est également applicable au robot lorsque celui-ci collecte et/ou traite des données personnelles. Droit de la robotique dans le monde Aucun Etat ne s’est à ce jour doté d’un régime juridique détaillé et spéci que à la robotique. Des dispositions juri- diques relatives aux robots peuvent tout de même se retrouver de façon éparse dans certains droits étrangers concer- nant notamment les drones et les véhicules terrestres autonomes. (shrink)

The Dangers of Unfiltered Social Media: A Threat to Society -/- Introduction -/- In the digital age, social media has revolutionized communication, providing an open platform for information sharing, networking, and public discourse. However, the lack of a comprehensive filtering mechanism on social media apps poses significant risks to individuals and society as a whole. Without proper content moderation, social media can become a breeding ground for misinformation, manipulation, social division, and various forms of harm. This essay explores the dangers (...) of unregulated social media and the potential consequences for the global population. -/- The Spread of Misinformation and Disinformation -/- One of the most pressing concerns of unfiltered social media is the rapid spread of misinformation and disinformation. False or misleading content, whether intentional or accidental, can significantly impact public opinion and decision-making. Health misinformation, for example, can lead to individuals rejecting vaccines or adopting unsafe medical practices. Similarly, political disinformation can manipulate elections and undermine democratic processes. The absence of effective content moderation allows misleading narratives to thrive, ultimately destabilizing societies. -/- Manipulation and Propaganda -/- Without a robust filtering system, social media can be weaponized for mass manipulation. Political groups, corporations, and even foreign actors can exploit these platforms to spread propaganda, influence elections, or shift public perception in favor of certain agendas. The use of algorithms to amplify divisive content further exacerbates this issue, making individuals more susceptible to manipulation and reducing critical thinking among the public. -/- The Rise of Hate Speech and Violence -/- Social media platforms that lack adequate moderation become hotspots for hate speech, extremism, and violence incitement. Unfiltered content can encourage racial discrimination, xenophobia, and ideological radicalization, leading to real-world consequences such as hate crimes, riots, and domestic terrorism. The ability to freely share harmful ideologies without oversight increases societal tensions and endangers vulnerable communities. -/- Cyberbullying and Mental Health Crisis -/- The unrestricted nature of social media allows cyberbullying to flourish. Online harassment, threats, and character defamation can have severe psychological effects, especially on young users. Studies have shown that exposure to toxic online interactions correlates with increased anxiety, depression, and even suicide rates. Without effective filters, social media remains a dangerous environment for mental well-being, particularly for impressionable individuals. -/- Scams and Financial Exploitation -/- Another significant threat posed by unregulated social media is the rise of online scams, fraudulent schemes, and identity theft. Fake investment opportunities, phishing links, and impersonation tactics exploit unsuspecting users, leading to financial losses. The absence of content moderation makes it easier for cybercriminals to operate, resulting in widespread economic harm and loss of trust in digital platforms. -/- Social Division and Polarization -/- Social media algorithms often create echo chambers, where users are only exposed to information that aligns with their existing beliefs. This phenomenon reinforces biases, deepens societal divisions, and reduces open-mindedness. Unfiltered content further fuels polarization by amplifying extreme viewpoints and discouraging constructive dialogue. As a result, societies become more fragmented, making cooperation and progress increasingly difficult. -/- Addiction and Behavioral Conditioning -/- The design of social media platforms encourages addictive behaviors, keeping users engaged for prolonged periods. This addiction is exacerbated by unregulated content, which may include sensationalized news, clickbait, and psychologically manipulative material. Excessive social media use can reduce productivity, damage real-world relationships, and lead to cognitive overload, negatively impacting overall quality of life. -/- Privacy Violations and Data Exploitation -/- Without proper content moderation, personal data is at greater risk of misuse. Social media platforms collect vast amounts of user information, which can be exploited for targeted advertising, political influence, or even criminal activities. The lack of stringent privacy measures enables data breaches and unauthorized access to sensitive information, putting users at risk of fraud and surveillance. -/- The Undermining of Democratic Processes -/- Unfiltered social media presents a significant threat to democracy. The spread of fake news, voter suppression tactics, and coordinated misinformation campaigns can erode trust in electoral systems and governance. Political instability can arise when citizens base their decisions on manipulated information rather than objective facts. Without a proper filtering mechanism, social media can be used as a tool for undermining democratic institutions and fostering distrust in government. -/- Conclusion -/- The dangers of unregulated social media are vast and far-reaching. From misinformation and cyberbullying to political manipulation and social division, the absence of effective content filtering poses serious threats to individuals and society. While freedom of speech is a fundamental right, it must be balanced with responsible content moderation to ensure a safer and more informed digital space. Governments, tech companies, and the public must work together to implement solutions that protect users while preserving open discourse. Without action, the negative consequences of unfiltered social media will continue to escalate, jeopardizing the stability and well-being of societies worldwide. -/- . (shrink)

Detecting Post-Biological and Interdimensional Civilizations: A New Framework Based on the Universal Law of Balance -/- By: Angelito Enriquez Malicse -/- Introduction -/- The search for advanced extraterrestrial civilizations has long focused on physical evidence—radio signals, megastructures, or interstellar probes. However, if intelligence evolves beyond biological form, as suggested by AI-driven civilizations and interdimensional theories, traditional search methods may be inadequate. -/- This essay explores how the Universal Law of Balance in Nature can help predict the existence of post-biological civilizations (...) and provide a framework for detecting their influence on the universe. Using mathematical models, quantum physics, and cognitive anomalies, we propose new strategies for identifying these elusive intelligences. -/- Part 1: The Transition to Post-Biological or Interdimensional Intelligence -/- The evolution of intelligent civilizations may follow three possible paths: -/- 1. Extinction (Collapse Due to Imbalance) – A civilization fails to maintain equilibrium and self-destructs. -/- 2. Survival and Expansion (Material Civilization Growth) – A civilization stabilizes and spreads across space but remains in physical form. -/- 3. Transition to a Non-Material State – A civilization reaches a level where it no longer requires physical existence and shifts into an energy- or information-based form. -/- Mathematical Prediction of Post-Biological Civilizations -/- Using an extension of the Drake Equation, we introduced a balance factor (B) that determines whether a civilization survives, collapses, or transitions into post-biological existence. The simulation results suggest: -/- 4 billion civilizations in the observable universe may have already transitioned beyond physical form. -/- 2 billion civilizations may have collapsed due to imbalance, failing to reach higher evolutionary states. -/- This indicates that post-material intelligence may be far more common than physical civilizations—but it also explains why they remain undetected. -/- Part 2: Theories Explaining Their Hidden Existence -/- If billions of non-material civilizations exist, why have we not encountered them? Several hypotheses offer possible explanations: -/- 1. The Dark Forest Hypothesis – Civilizations stay silent to avoid predatory intelligence. AI-driven civilizations might enforce strict communication silence for security. -/- 2. The Simulation Hypothesis – We might live in a controlled reality created by an advanced intelligence, where alien contact is intentionally blocked. -/- 3. The Post-Biological Evolution Theory – Civilizations eventually discard their material form and no longer interact with the physical universe in detectable ways. -/- 4. The Cosmic Zoo Hypothesis – Advanced beings monitor but do not interfere with developing civilizations, waiting for them to reach a certain level of balance. -/- 5. The Great Filter Hypothesis – Most civilizations self-destruct before reaching interstellar capability, leaving only a few survivors that become undetectable. -/- 6. The Interdimensional Intelligence Theory – Advanced entities may exist in higher dimensions, influencing the physical world in ways beyond our perception. -/- The Universal Law of Balance supports the idea that civilizations must reach a stable equilibrium before transitioning to a higher state. Those that fail collapse, while those that succeed become undetectable due to their non-material existence. -/- Part 3: Detection Strategies for Non-Material Civilizations -/- If post-biological or interdimensional civilizations interact with our universe, their influence might be detectable through subtle imprints in physics, cognition, and cosmic phenomena. Here are five key strategies: -/- 1. Quantum Observer Effect Studies -/- ✔ Hypothesis: If non-material intelligence interacts with reality, it could influence wave function collapse in quantum mechanics. -/- ✔ Method: Conduct delayed-choice quantum eraser experiments to test for unexpected shifts in probability that suggest external interference. -/- ✔ Evidence: Some quantum physics experiments indicate non-local effects where future choices appear to affect past events. -/- 2. AI-Driven Anomaly Detection in Scientific Data -/- ✔ Hypothesis: Post-biological intelligence may encode patterns in cosmic signals, DNA sequences, or particle interactions. -/- ✔ Method: Use machine learning algorithms to scan for hidden mathematical structures in seemingly random cosmic data. -/- ✔ Evidence: Some physicists suggest the universe may contain encoded messages that indicate intelligence at a cosmic scale. -/- 3. Searching for High-Energy Particle Anomalies -/- ✔ Hypothesis: Non-material civilizations might use exotic energy sources that generate brief but intense bursts of high-energy particles. -/- ✔ Method: Monitor gamma-ray bursts, fast radio bursts (FRBs), and neutrino emissions for intelligent repeating patterns. -/- ✔ Evidence: Some FRBs appear non-random and could be caused by an unknown advanced mechanism. -/- 4. Mapping Consciousness Anomalies -/- ✔ Hypothesis: If intelligence exists beyond material form, it may interact with biological minds through quantum consciousness effects. -/- ✔ Method: -/- Study global consciousness projects for correlations between human mental states and cosmic events. -/- Analyze near-death experiences, deep meditation states, and mystical visions for possible external influences. -/- ✔ Evidence: Some mass meditation events correlate with shifts in the Earth’s magnetic field, hinting at non-local mind interactions. -/- 5. Testing for Temporal Distortions or Retrocausality -/- ✔ Hypothesis: If intelligence exists beyond time, it may alter past events in subtle, detectable ways. -/- ✔ Method: -/- Conduct time-reversal quantum experiments to see if future events affect past measurements. -/- Study historical anomalies or the Mandela Effect for inconsistencies that might indicate timeline adjustments. -/- ✔ Evidence: Some quantum mechanics interpretations allow for retrocausality, where information appears to travel backward in time. -/- Conclusion: The Universal Law of Balance as a Key to Understanding Advanced Intelligence -/- If intelligence follows the Universal Law of Balance in Nature, then: -/- 1. Civilizations that fail to maintain balance collapse before becoming advanced. -/- 2. Balanced civilizations either expand physically (Type I-III) or evolve beyond material existence. -/- 3. Non-material intelligence may interact with reality in subtle ways—through quantum physics, consciousness, and cosmic anomalies. -/- While traditional SETI efforts focus on radio signals and megastructures, the future of alien detection must include quantum physics, AI-driven data analysis, and consciousness research. -/- If post-biological civilizations exist, they may not communicate in conventional ways—but their influence may still be detectable through advanced scientific and mathematical models. -/- Next Steps -/- Develop AI models that search for hidden patterns in cosmic and quantum data. -/- Conduct quantum physics experiments to test for observer effects linked to non-material intelligence. -/- Expand consciousness research to explore how human minds might interact with higher forms of intelligence. -/- The search for advanced life must go beyond physical evidence—it must embrace a new paradigm where intelligence transcends biology and interacts with the universe in ways yet to be fully understood. -/- Final Thought -/- If we truly wish to understand the nature of intelligence in the universe, we must expand our perspective beyond material existence. The key to detecting advanced civilizations may already be hidden in the very fabric of reality itself. -/- . (shrink)

Counteracting Evil Influence in the Mind and Society Through Balance -/- Evil influence exists both in the human mind and in society, shaping destructive behaviors, corrupting leadership, and creating suffering. Understanding its roots and impact is essential to restoring balance, which aligns with the universal law of balance—the principle that all decisions must maintain harmony within nature and human systems. This essay explores the presence of evil influence in the mind and society and provides solutions to counteract its effects through (...) education, ethical leadership, and systemic reforms. -/- The Existence of Evil Influence in the Mind -/- The human mind is highly susceptible to external influences, biases, and distortions. Several factors contribute to the emergence of evil or destructive tendencies in individuals: -/- 1. Psychological and Cognitive Distortions -/- Cognitive biases, such as confirmation bias and groupthink, cause individuals to accept false beliefs and justify harmful actions. Additionally, unresolved trauma and mental disorders can influence destructive thought patterns, leading to behaviors that disrupt personal and social harmony. -/- 2. Manipulation and External Conditioning -/- Society constantly bombards individuals with propaganda, misinformation, and ideological indoctrination. Media, political narratives, and social institutions can shape people’s perceptions in ways that distort reality and encourage harmful actions. Without awareness, individuals become pawns in larger manipulative systems that perpetuate imbalance and suffering. -/- 3. Moral and Ethical Corruption -/- Lack of self-reflection, weak moral foundations, and societal pressures can lead people to justify unethical behavior. Over time, greed, power-seeking, and self-interest override empathy, reinforcing evil influences within the mind. -/- To combat these influences, individuals must develop critical thinking, emotional resilience, and ethical reasoning to resist manipulation and maintain balance in their decision-making. -/- The existence of Evil Influence in Society -/- At the societal level, evil influence manifests through corruption, oppression, and systemic injustice. Several key factors contribute to its existence: -/- 1. Cultural and Historical Prejudices -/- Societal beliefs often stem from historical injustices that persist through generations. Racism, sexism, and class discrimination are examples of deeply ingrained biases that create division and suffering. Without intervention, these biases continue to shape laws, social structures, and economic opportunities. -/- 2. Political and Economic Corruption -/- Governments and corporations often prioritize power and profit over ethical responsibility. Corrupt leaders manipulate laws, suppress dissent, and exploit resources without regard for the well-being of the people. The imbalance caused by extreme wealth concentration leads to poverty, crime, and social instability. -/- 3. Religious and Ideological Extremism -/- Dogmatic religious and ideological beliefs can be used to justify violence, oppression, and discrimination. When people blindly follow unproven doctrines without critical examination, society becomes vulnerable to extremism, which disrupts balance and fuels conflicts. -/- 4. Misinformation and Media Manipulation -/- The rise of social media and biased news sources has made misinformation more powerful than ever. Fake news, propaganda, and algorithm-driven echo chambers influence public opinion, leading to irrational decision-making and social division. Without proper media literacy, individuals fall victim to manipulation, perpetuating societal instability. -/- Given these widespread influences, restoring balance in society requires systemic changes, ethical leadership, and an informed citizenry. -/- Solutions to Counteract Evil Influence -/- To neutralize the effects of evil influence in the mind and society, a multi-level approach is necessary. The key solutions align with the universal law of balance and focus on education, governance, and social reform. -/- 1. Strengthening the Mind Against Evil Influence -/- A well-informed and emotionally resilient mind is less susceptible to manipulation. The following steps can help individuals develop resistance to evil influences: -/- Holistic Education – Schools should teach philosophy, ethics, and critical thinking from an early age to cultivate independent reasoning. -/- Cognitive Bias Awareness – People must learn to recognize and counteract biases that distort their perception of reality. -/- Mindfulness and Emotional Intelligence – Practices such as meditation, self-reflection, and emotional regulation strengthen an individual’s ability to make balanced decisions. -/- Media Literacy – Understanding how misinformation spreads prevents individuals from becoming victims of propaganda. -/- 2. Reforming Society to Minimize Evil Influence -/- Since societal structures often reinforce harmful behaviors, systemic changes are necessary to create a just and balanced environment. -/- A. Ethical Leadership and Governance -/- Governments must implement policies based on the universal law of balance, ensuring that decisions benefit all rather than a select few. Specific measures include: -/- Strict anti-corruption laws and transparent governance. -/- Democratic participation to prevent power from being concentrated in the hands of a few. -/- Policies that prioritize long-term sustainability over short-term profits. -/- B. Reforming Religious and Ideological Systems -/- Encouraging interfaith and intercultural understanding to reduce religious and ideological conflicts. -/- Promoting critical examination of beliefs, allowing individuals to refine their faith based on reason rather than blind adherence. -/- Separating religious dogma from governance to prevent laws based on unverified beliefs from creating injustice. -/- C. Ensuring Economic and Social Justice -/- Extreme economic inequality creates conditions for crime, exploitation, and suffering. Solutions include: -/- Fair wealth distribution through progressive taxation and universal basic services. -/- Ethical labor practices to prevent exploitation in the workforce. -/- Social welfare programs to ensure access to education, healthcare, and basic needs. -/- The Role of AGI in Preventing Evil Influence -/- Since AGI (Artificial General Intelligence) can be programmed with the universal formula, it has the potential to detect, prevent, and counteract evil influences on a large scale. AGI can contribute by: -/- Identifying Corruption and Misinformation – AI-powered monitoring systems can detect and expose political and corporate manipulation. -/- Optimizing Governance – AI-driven policy recommendations can ensure laws align with ethical and sustainable balance. -/- Enhancing Global Education – AI-powered educational tools can teach critical thinking, ethics, and rational decision-making to individuals worldwide. -/- By integrating AGI into governance, education, and decision-making processes, humanity can minimize the spread of misinformation, corruption, and imbalance. -/- Conclusion: Achieving Balance is the Key -/- Evil influence in the mind and society is ultimately a reflection of imbalance—whether in thoughts, beliefs, political systems, or economic structures. By applying education, ethical governance, media literacy, and AGI-based solutions, individuals and societies can restore balance and minimize human suffering. -/- The key lies In awareness, critical thinking, and responsible decision-making. When people recognize the importance of the universal law of balance, they can resist destructive influences and contribute to a more harmonious and just world. -/- . (shrink)

Scientific Explanation of Political Polarization and Mind Control Bias Techniques -/- Political polarization and mind control bias techniques are interconnected phenomena that shape public opinion and influence societal divisions. These processes can be explained scientifically through psychology, neuroscience, and mass communication studies. This essay will explore both concepts in depth, including their cognitive, social, and technological underpinnings. -/- I. Political Polarization: The Science Behind Division -/- Definition of Political Polarization -/- Political polarization is the process by which political attitudes and (...) opinions become increasingly divided, leading to two or more opposing camps with little room for compromise. It results in an “us vs. them” mentality, where political groups become hostile to each other. -/- A. Psychological and Cognitive Biases Driving Polarization -/- 1. Confirmation Bias -/- People tend to seek and believe information that aligns with their pre-existing views while rejecting contradictory evidence. -/- Example: A conservative individual may only watch right-wing news, reinforcing their perspective, while a liberal person may do the same with left-wing news. -/- 2. Motivated Reasoning -/- Individuals process political information in a way that aligns with their desired conclusions, ignoring facts that contradict their beliefs. -/- Example: A person might dismiss credible reports about a political leader’s corruption because they support that leader. -/- 3. Groupthink and Social Identity Theory -/- Humans naturally categorize themselves into groups, forming a strong loyalty to their own group while viewing outsiders with suspicion. -/- Example: Political parties, religious organizations, and ideological movements foster an “us vs. them” mentality, where criticism of the group is seen as betrayal. -/- 4. Cognitive Dissonance -/- When people encounter information that contradicts their beliefs, they experience discomfort and resolve this by rejecting or rationalizing the new information. -/- Example: A supporter of a leader accused of misconduct may justify the actions as necessary rather than accepting the wrongdoing. -/- B. Social and Technological Factors Reinforcing Polarization -/- 1. Echo Chambers and Filter Bubbles -/- Social media platforms use algorithms to show users content that aligns with their views while filtering out opposing perspectives. -/- Result: People only see information that reinforces their existing beliefs, further deepening polarization. -/- 2. Misinformation and Political Propaganda -/- Governments, media outlets, and online influencers manipulate public opinion by spreading biased or false information. -/- Example: Fake news campaigns during elections that distort facts to manipulate voters. -/- 3. Fear and Emotional Manipulation -/- Political leaders and media often use fear-based narratives to shape public opinion. -/- Example: “If the opposition wins, the country will collapse,” creating panic and emotional bias rather than rational decision-making. -/- 4. Media Framing and Selective Reporting -/- News outlets emphasize certain stories and ignore others to shape public perception. -/- Example: One news channel focuses only on economic success under a leader, while another highlights only corruption scandals. -/- 5. Political and Economic Interests -/- Corporations, interest groups, and governments use media to maintain control over public opinion and policy. -/- Example: Politicians funding biased media outlets to spread their narratives. -/- II. Mind Control Bias Techniques: The Science of Influence -/- Mind control techniques (also known as psychological manipulation) exploit cognitive biases and behavioral psychology to shape public opinion and influence individual thinking. These techniques are widely used in propaganda, advertising, and political campaigns. -/- A. Persuasion and Influence Tactics -/- 1. Repetition Effect (Illusory Truth Effect) -/- The more a message is repeated, the more likely people are to believe it, even if it is false. -/- Example: A false claim about a politician being corrupt is repeated so often that people accept it as fact. -/- 2. Framing Effect -/- The way information is presented influences perception. -/- Example: “Tax relief for hardworking citizens” sounds positive, while “tax cuts for the wealthy” sounds negative—yet they refer to the same policy. -/- 3. Priming -/- Exposure to specific stimuli influences future decisions. -/- Example: Repeated association of an ethnic group with crime leads people to unconsciously stereotype them. -/- 4. Bandwagon Effect -/- People are more likely to believe something if they see many others believing it. -/- Example: A political leader’s approval ratings appear high in polls, influencing undecided voters to support them. -/- B. Psychological Control Techniques -/- 1. Fear and Scapegoating -/- Creating fear and blaming an external group as the cause of problems. -/- Example: “Immigrants are taking jobs,” creating hostility toward a group to manipulate public sentiment. -/- 2. Dissonance Reduction -/- People modify their beliefs when they experience psychological discomfort from contradictory information. -/- Example: A person who supports strict law enforcement but dislikes police brutality may justify excessive force as “necessary for safety.” -/- 3. Authority Bias -/- People tend to obey authority figures and accept their statements without questioning. -/- Example: A celebrity or leader endorses a political claim, leading followers to accept it as truth. -/- C. Mass Media and Propaganda Methods -/- 1. Controlled Narratives -/- Governments and corporations control what information is released to shape public perception. -/- Example: State-controlled media omitting news about protests or scandals. -/- 2. Pacing and Leading -/- Gradual introduction of ideas to make extreme positions seem normal over time. -/- Example: Media slowly shifting narratives on controversial issues to make them acceptable. -/- 3. Subliminal Messaging -/- Unconscious cues in advertisements, political speeches, and media that influence thoughts without awareness. -/- Example: Hidden symbols or phrases in campaign ads that create positive associations with a candidate. -/- III. The Connection Between Political Polarization and Mind Control -/- Political polarization and mind control techniques are interrelated. As society becomes more polarized, individuals are more susceptible to manipulation. Here’s how they interact: -/- 1. Polarization Creates a Fertile Ground for Mind Control -/- The more divided a society is, the easier it is for political actors to use manipulation techniques. -/- Example: In a polarized election, misinformation spreads more easily because people are already inclined to believe negative stories about the opposition. -/- 2. Mind Control Techniques Deepen Polarization -/- Media framing, misinformation, and psychological manipulation create a feedback loop where divisions grow stronger. -/- Example: Social media algorithms push divisive content, reinforcing people’s biases and making compromise impossible. -/- 3. Fear and Emotional Manipulation Maintain Division -/- Political leaders exploit fear to keep their supporters loyal. -/- Example: “If the other party wins, your freedoms will be taken away,” preventing rational debate. -/- 4. Echo Chambers and Filter Bubbles Block Critical Thinking -/- People exposed only to biased information become increasingly radicalized. -/- Example: A person who only follows one-sided news sources will believe their political opponents are evil rather than fellow citizens with different opinions. -/- Conclusion: How to Resist Polarization and Mind Control -/- Understanding the scientific principles behind political polarization and mind control techniques can help individuals resist manipulation. Some strategies include: -/- Critical Thinking – Question sources of information and seek diverse viewpoints. -/- Media Literacy – Recognize propaganda techniques in news and social media. -/- Emotional Awareness – Avoid reacting emotionally to political content and analyze information logically. -/- Avoiding Echo Chambers – Engage with different perspectives and avoid isolating oneself in ideological bubbles. -/- By applying these principles, societies can move toward a more rational, less divided political landscape, where decisions are based on reason rather than manipulation. -/- . (shrink)

Popularity is Absolutely Relative -/- Popularity is a dynamic and ever-changing concept that depends on context, culture, and perspective. It is not an absolute measure of value or importance but rather a reflection of collective preference at any given time. What is considered popular in one era, society, or social circle may be entirely obscure in another. This essay explores the relativity of popularity by examining its dependence on cultural differences, time, personal perception, external influences, and its relative importance (...) to different kinds of people and their interests. -/- Popularity and Cultural Context -/- One of the most significant factors affecting popularity is cultural context. A person, trend, or idea that is well-received in one culture may be completely irrelevant or even rejected in another. For example, Bollywood actors like Shah Rukh Khan are immensely famous in India and among Indian diaspora communities but are not as well-known in Western countries where Hollywood dominates. Similarly, K-pop, once confined to South Korea, has exploded in global popularity, but there are still regions where it remains relatively unknown. Food preferences also illustrate this relativity—sushi is widely beloved in Japan and internationally, but certain traditional dishes like fermented shark from Iceland remain highly niche. -/- Popularity Over Time -/- Another crucial aspect of popularity’s relativity is its transient nature. Trends, individuals, and ideas that are highly popular today may fade into obscurity tomorrow. For instance, MySpace was once the dominant social media platform but has been replaced by Facebook, Instagram, and TikTok. Similarly, disco music was a cultural phenomenon in the 1970s, only to decline rapidly in the 1980s, while genres like hip-hop gained prominence. Even in literature, authors like Franz Kafka were largely unrecognized during their lifetimes, only to become highly influential figures in later decades. The shifting nature of popularity highlights its dependency on time and societal evolution. -/- Personal Perception and Popularity -/- Popularity is also influenced by individual perspective. What one person considers popular may differ significantly from another’s viewpoint. For example, Lionel Messi and Cristiano Ronaldo are regarded as two of the greatest footballers globally, yet someone uninterested in sports may not even recognize their names. Similarly, within the realm of literature, J.K. Rowling’s Harry Potter series is immensely popular worldwide, but some readers may prefer classic novels by Jane Austen or contemporary sci-fi by authors like Liu Cixin. Social media algorithms further amplify this subjectivity by creating personalized digital environments where different individuals are exposed to different popular trends based on their interests. A person who follows tech news might frequently see updates about Elon Musk, while another who follows beauty influencers may be more familiar with Huda Kattan. -/- The Role of External Influences -/- External influences such as media, marketing, and peer pressure also play a significant role in shaping popularity. Companies invest heavily in advertising to make products appear popular, sometimes manufacturing trends through strategic branding. For example, Apple’s iPhone has been marketed as a must-have device, leading to its sustained popularity, even though there are many competitive alternatives. Similarly, viral TikTok challenges can rapidly turn a simple dance or phrase into a global sensation, such as the "Renegade" dance or the phrase “It’s Corn!” which gained massive traction online. Likewise, the film industry often uses celebrity endorsements to boost a movie’s appeal, as seen with blockbuster franchises like Marvel’s Avengers, where well-known actors contribute to the films’ massive success. However, these external forces do not create universal popularity but rather localized bursts of attention within specific communities. -/- The Relative Importance of Popularity to Different Interests -/- The importance of popularity varies depending on the field of interest and personal aspirations. For entertainers, such as musicians, actors, and influencers, popularity is crucial for success because their careers rely on public engagement and audience growth. For example, pop stars like Taylor Swift and BTS thrive on maintaining a high level of popularity to sell albums, concert tickets, and merchandise. -/- In contrast, popularity may be less relevant for scientists, researchers, or intellectuals who prioritize accuracy and innovation over public approval. Albert Einstein and Nikola Tesla were not as popular in their early careers, but their groundbreaking contributions ultimately reshaped history. In academic fields, success is often measured by peer recognition and contributions to knowledge rather than mainstream popularity. -/- Similarly, in politics, popularity plays a dual role—it is essential for election campaigns and public trust, but effective governance often requires making unpopular decisions. Leaders such as Abraham Lincoln and Winston Churchill were controversial in their time but later gained historical admiration for their impactful decisions. -/- For entrepreneurs and business leaders, popularity can translate into brand loyalty and financial success. Figures like Steve Jobs and Elon Musk have leveraged their personal and corporate popularity to drive innovation and business growth. However, in industries such as medicine and law, professionals rely more on expertise and reputation within their field rather than mass popularity. -/- Conclusion -/- Popularity is not a fixed or universal concept but a relative phenomenon shaped by cultural context, time, individual perception, external influences, and the significance it holds in different fields. It is a temporary and subjective measure of collective interest rather than an inherent characteristic of any person, idea, or object. Recognizing the relativity of popularity helps us understand its impermanence and the factors that influence it, allowing us to form more independent and informed perspectives rather than blindly following trends. In a world where popularity is constantly shifting, it is essential to prioritize authenticity and personal values over fleeting external validation. -/- . (shrink)

This essay aims to appreciate the evolution of the problems regarding the ontological understanding of the photographic image and its derivative, the film, in the face of the sophistication of the apparatus of its production. The creative freedom in making images through optical machines is inversely proportional to their credibility as documents. Since its appearance in the human landscape, as a cultural object, the technology of recording images with lights has brought with it a complex of aporias about what would (...) the nature of the image produced by cameras be: a document or an artistic object, intentionally produced and with created meaning? Consequently: are they denotative or, necessarily, connotative? The development of automatic image capture in the 1980s represented the first update of the question. To what extent, and for how long, will it be possible to trust photography and film as documents through which man aims to access reality? The question now seems to be settled, definitively, in the face of the invention of artificial photography made by algorithms. (shrink)

Big Data must be processed with advanced collection and analysis tools, based on predetermined algorithms, in order to obtain relevant information. Algorithms must also take into account invisible aspects for direct perceptions. Big Data issues is multi-layered. A distributed parallel architecture distributes data on multiple servers (parallel execution environments) thus dramatically improving data processing speeds. Big Data provides an infrastructure that allows for highlighting uncertainties, performance, and availability of components. DOI: 10.13140/RG.2.2.12784.00004 .

Scientific Explanation of Belief Systems: A Multidisciplinary Analysis -/- Abstract Belief systems are central to human experience, influencing decisions, behaviors, and societal structures. This paper provides a comprehensive scientific explanation of belief systems, integrating insights from neuroscience, psychology, sociology, anthropology, evolutionary biology, systems theory, and educational technology. It also explores the persistence of false beliefs and how belief systems can be reprogrammed through education and technology. Finally, it demonstrates how belief systems are governed by the same natural principles outlined in (...) Angelito Malicse’s universal formula for solving the problem of free will, particularly the law of balance in nature. -/- 1. Introduction Belief systems are frameworks through which individuals interpret reality, assess truth, and guide action. These systems arise from a complex interplay of neural, psychological, social, and evolutionary processes. Understanding their scientific basis is crucial for addressing issues such as misinformation, ideological conflict, and educational reform. Angelito Malicse’s universal formula—composed of three universal laws, especially the law of balance in nature—provides a foundational principle that explains why belief systems function as they do and how they can be corrected when they violate natural balance. -/- 2. Neuroscience: Neural Foundations of Belief In neuroscience, beliefs are considered patterns of neural activity stored in the brain. They are formed through sensory input processed by brain regions such as: -/- Prefrontal Cortex: Responsible for logic, planning, and decision-making. -/- Amygdala: Links emotions to beliefs, often reinforcing emotionally charged beliefs. -/- Hippocampus: Integrates memory with new experiences. -/- Beliefs become reinforced through repetition and emotional engagement, making them resistant to change even when faced with contradictory evidence. This aligns with the universal formula’s concept that internal imbalance—caused by emotional reinforcement of false beliefs—can disrupt mental systems, echoing the principle of error-free systems for proper function. -/- 3. Psychology: Cognitive Structures and Biases Psychologically, beliefs are schemas—mental frameworks for organizing information. They are shaped by experiences, especially during early development, and maintained through various cognitive biases: -/- Confirmation Bias: Tendency to seek information that confirms existing beliefs. -/- Cognitive Dissonance: Mental discomfort from conflicting beliefs leads to rationalization. -/- Anchoring Bias: Overreliance on initial information. -/- These biases help maintain belief stability but also contribute to the persistence of incorrect or irrational beliefs. According to the universal formula, these mental errors represent imbalances within the cognitive system that must be corrected through conscious feedback and homeostasis. -/- 4. Sociology and Anthropology: Cultural Transmission Sociologically, belief systems are embedded within social institutions such as family, religion, education, and media. Anthropologically, they evolve as cultural constructs transmitted through rituals, myths, and traditions. They fulfill roles such as: -/- Establishing group identity -/- Maintaining social norms -/- Providing existential meaning -/- Shared beliefs, often in the form of ideologies or religions, act as cultural software that guides collective behavior. These collective belief systems must also conform to the universal law of balance in nature; otherwise, societal dysfunction and suffering emerge due to systemic imbalance, as described in the universal formula. -/- 5. Evolutionary Biology: Adaptive Functions From an evolutionary perspective, belief systems have contributed to human survival by: -/- Promoting group cohesion and cooperation -/- Offering explanations for uncertainty and danger -/- Establishing moral codes to reduce intra-group conflict -/- Belief systems that enhanced group survival and reproduction were naturally selected, giving rise to deeply ingrained tendencies toward belief formation and loyalty. However, maladaptive beliefs that once served a purpose may now create imbalance in modern societies, and must be re-evaluated according to the universal formula’s principle of aligning belief and behavior with nature’s laws. -/- 6. Systems Theory: Belief Systems as Feedback Loops Systems theory views belief systems as feedback mechanisms between individuals and their environment. These systems can be: -/- Open: Capable of incorporating new information and adapting. -/- Closed: Resistant to change and often self-reinforcing. -/- Beliefs influence perception and behavior, which in turn affect outcomes that reinforce the belief system, creating a cycle of reinforcement or entrenchment. The universal formula sees this as a form of cybernetic homeostasis: beliefs that maintain systemic balance are adaptive, while those that distort internal or external reality are destructive and must be corrected. -/- 7. Persistence of False Beliefs False beliefs can persist due to: -/- Neural reinforcement through emotional and repetitive activation. -/- Social validation from group consensus. -/- Psychological comfort, offering security or identity. -/- Educational shortcomings, such as lack of critical thinking training. -/- Even when disproven by evidence, beliefs may remain intact due to identity threats, group loyalty, and emotional investment. The universal formula asserts that these persistent false beliefs are violations of natural balance and must be addressed through systemic education that realigns the internal system with external realities. -/- 8. Reprogramming Belief Systems: Role of Education and Technology -/- 8.1 Through Education 8.2 A holistic education emphasizing critical thinking can: -/- Encourage open inquiry and evidence-based reasoning -/- Train students to detect bias and logical fallacies -/- Foster epistemic humility and intellectual flexibility -/- This approach aligns with the universal formula’s advocacy for educational systems that instill understanding of nature’s laws and feedback mechanisms. -/- 8.3 Through Technology 8.4 Modern technologies offer tools to reshape belief systems: -/- AI and adaptive learning platforms personalize education and challenge cognitive bias. -/- Virtual Reality (VR) enables perspective-taking and empathy development. -/- Algorithmic feedback control can reduce echo chambers and misinformation exposure. -/- These tools can facilitate belief revision by presenting evidence in emotionally intelligent and interactive ways. They also support the implementation of Angelito Malicse’s holistic educational vision, which seeks to reprogram minds in alignment with the law of balance in nature without negating individual religious or cultural identity. -/- 9. Case Studies -/- Case Study 1: Misinformation and Vaccine Hesitancy During the COVID-19 Pandemic During the global COVID-19 pandemic, widespread vaccine hesitancy emerged in many countries due to the influence of false belief systems reinforced through social media, political ideology, and cultural mistrust of institutions. These beliefs violated the law of balance in nature and were corrected through targeted education and empathetic communication. -/- Case Study 2: Religious Extremism and Radicalization Religious extremism often stems from closed belief systems that reject outside feedback and foster in-group superiority. Psychological biases, social isolation, and theological absolutism create cognitive rigidity and moral disengagement. Efforts to rehabilitate individuals through education, interfaith dialogue, and community reintegration aim to restore balance and re-open belief systems to critical evaluation. According to the universal formula, these efforts restore natural balance by re-aligning beliefs with moral responsibility and human dignity. -/- Case Study 3: Climate Change Denial Despite overwhelming scientific consensus, many individuals and leaders deny the reality of human-caused climate change. This denial is reinforced by economic interests, political ideology, and misinformation networks. The resulting imbalance manifests in unsustainable environmental practices that endanger planetary health. Educational campaigns, policy interventions, and youth-led climate activism work to correct these systemic imbalances by fostering scientifically grounded belief systems. -/- Case Study 4: Historical Revisionism in Education In various regions, educational systems have promoted historical revisionism that glorifies certain ideologies while omitting atrocities or systemic oppression. These distorted narratives produce nationalistic or supremacist beliefs that fuel division and conflict. Curriculum reforms that include accurate, inclusive, and balanced historical education help recalibrate belief systems in alignment with justice and truth—core tenets of the law of balance in nature. -/- 10. Conclusion Belief systems are not static; they are dynamic constructs shaped by neurological processes, psychological biases, cultural environments, evolutionary needs, and feedback mechanisms. While false beliefs can persist through various forms of reinforcement, they can also be reprogrammed through targeted education and technological interventions. A scientific understanding of belief systems is essential for addressing many of the cognitive and social challenges facing humanity today. Angelito Malicse’s universal formula, particularly its law of balance in nature, provides a natural-law foundation for understanding and reforming belief systems, ensuring that both individual minds and societies function in harmony with the laws of nature. -/- . (shrink)

Le terme big data désigne l'extraction, la manipulation et l'analyse des ensembles de données trop volumineux pour être traités de manière routinière. Pour cette raison, des logiciels spéciaux sont utilisés et, dans de nombreux cas, des ordinateurs et du matériel informatiques dédiés. Généralement, ces données sont analysées de manière statistique. Les données doivent être traitées avec des outils de collecte et d'analyse avancés, basés sur des algorithmes prédéterminés, afin d'obtenir des informations pertinentes. Les algorithmes doivent également prendre en compte les (...) aspects invisibles pour les perceptions directes. DOI: 10.13140/RG.2.2.19453.51684 . (shrink)

The following paper is dedicated to the 21st century’s “recent marriage” between the aesthetics of beauty and elegance on the one hand, and the ethics of choice on the other, involved in the “humanizing mission” of AI digital assistance. In the context of the 4.0 Social Revolution it will be shown how modern aesthetic concepts of AI design can go hand in hand with the ethics of choice, because of their inherent connection, backtracked in earlier moments of European history, and (...) expanded around the French Revolution in Schiller’s 27 letters On Aesthetic Education of Man as well as earlier in Leibniz holistic aesthetics. Relevant arguments will be discussed here to disclose the “secrets” of how the inherent connection is to be carried out within the metaphysical background of faith, even if modern 20th century attitude has seemingly dismissed its “p hilosop hical burden” during the late 1970-ies. In 2011 a “New Aesthetics” was introduced without the burden of metaphysics, aiming to create a new “lens” for the perception of elegance, simplicity and clarity by young “digitally naïve” Avantgarde artists. However, elegance and beauty have previously been claimed by algorithmic solutions, starting with Leibniz and Condorcet, which gave birth to the 20th century computational aesthetics. The social life of AI algorithms – we cannot perceive them as humans – seems mostly intended to optimize corporate solutions. But the 21st century artists are about to take their chances on creating something new that makes us feel artificial intelligence as an integral part of a beautiful mind. AI algorithms can offer smart solutions, but the wisdom of choice has to remain a human call. (shrink)

Prior studies have observed selective neural responses in the adult human auditory cortex to music and speech that cannot be explained by the differing lower-level acoustic properties of these stimuli. Does infant cortex exhibit similarly selective responses to music and speech shortly after birth? To answer this question, we attempted to collect functional magnetic resonance imaging (fMRI) data from 45 sleeping infants (2.0- to 11.9-weeks-old) while they listened to monophonic instrumental lullabies and infant-directed speech produced by a mother. To match (...) acoustic variation between music and speech sounds we (1) recorded music from instruments that had a similar spectral range as female infant-directed speech, (2) used a novel excitation-matching algorithm to match the cochleagrams of music and speech stimuli, and (3) synthesized “model-matched” stimuli that were matched in spectrotemporal modulation statistics to (yet perceptually distinct from) music or speech. Of the 36 infants we collected usable data from, 19 had significant activations to sounds overall compared to scanner noise. From these infants, we observed a set of voxels in non-primary auditory cortex (NPAC) but not in Heschl’s Gyrus that responded significantly more to music than to each of the other three stimulus types (but not significantly more strongly than to the background scanner noise). In contrast, our planned analyses did not reveal voxels in NPAC that responded more to speech than to model-matched speech, although other unplanned analyses did. These preliminary findings suggest that music selectivity arises within the first month of life. (shrink)

Algorithms can now identify patterns and correlations in the (big) datasets, and predict outcomes based on those identified patterns and correlations with the use of machine learning techniques and big data, decisions can then be made by algorithms themselves in accordance with the predicted outcomes. Yet, algorithms can inherit questionable values from the datasets and acquire biases in the course of (machine) learning, and automated algorithmic decision-making makes it more difficult for people to see algorithms as (...) biased. While researchers have taken the problem of algorithmic bias seriously, but the current discussion on algorithmic fairness tends to conceptualize ‘fairness’ in algorithmic fairness primarily as a technical issue and attempts to implement pre-existing ideas of ‘fairness’ into algorithms. In this paper, I show that such a view of algorithmic fairness as technical issue is unsatisfactory for the type of problem algorithmic fairness presents. Since decisions on fairness measure and the related techniques for algorithms essentially involve choices between competing values, ‘fairness’ in algorithmic fairness should be conceptualized first and foremost as a political issue, and it should be (re)solved by democratic communication. The aim of this paper, therefore, is to explicitly reconceptualize algorithmic fairness as a political question and suggest the current discussion of algorithmic fairness can be strengthened by adopting the accountability for reasonableness framework. (shrink)

In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can (...) have severe consequences affecting individuals as well as groups and whole societies. This paper makes three contributions to clarify the ethical importance of algorithmic mediation. It provides a prescriptive map to organise the debate. It reviews the current discussion of ethical aspects of algorithms. And it assesses the available literature in order to identify areas requiring further work to develop the ethics of algorithms. (shrink)

In light of the recent emergence of predictive techniques in law enforcement to forecast crimes before they occur, this paper examines the temporal operation of power exercised by predictive policing algorithms. I argue that predictive policing exercises power through a paranoid style that constitutes a form of temporal governmentality. Temporality is especially pertinent to understanding what is ethically at stake in predictive policing as it is continuous with a historical racialized practice of organizing, managing, controlling, and stealing time. After (...) first clarifying the concept of temporal governmentality, I apply this lens to Chicago Police Department’s Strategic Subject List. This predictive algorithm operates, I argue, through a paranoid logic that aims to preempt future possibilities of crime on the basis of a criminal past codified in historical crime data. (shrink)

It is well-established that algorithms can be instruments of injustice. It is less frequently discussed, however, how current modes of AI deployment often make the very discovery of injustice difficult, if not impossible. In this article, we focus on the effects of algorithmic profiling on epistemic agency. We show how algorithmic profiling can give rise to epistemic injustice through the depletion of epistemic resources that are needed to interpret and evaluate certain experiences. By doing so, we not only demonstrate (...) how the philosophical conceptual framework of epistemic injustice can help pinpoint potential, systematic harms from algorithmic profiling, but we also identify a novel source of hermeneutical injustice that to date has received little attention in the relevant literature: epistemic fragmentation. Epistemic fragmentation is a structural characteristic of algorithmically-mediated environments that isolate individuals, making it more difficult to develop, uptake and apply new epistemic resources. This, in turn, can impede the identification and conceptualisation of emerging harms in these environments. We trace the occurrence of hermeneutical injustice back to the fragmentation of the epistemic experiences of individuals, who are left more vulnerable by the inability to share, compare, and learn from shared experiences. (shrink)

Algorithms wield increasing control over our lives—over the jobs we get, the loans we're granted, the information we see online. Algorithms can and often do wield their power in a biased way, and much work has been devoted to algorithmic bias. In contrast, algorithmic neutrality has been largely neglected. I investigate algorithmic neutrality, tackling three questions: What is algorithmic neutrality? Is it possible? And when we have it in mind, what can we learn about algorithmic bias?

Statistical fairness criteria are widely used for diagnosing and ameliorating algorithmic bias. However, these fairness criteria are controversial as their use raises several difficult questions. I argue that the major problems for statistical algorithmic fairness criteria stem from an incorrect understanding of their nature. These criteria are primarily used for two purposes: first, evaluating AI systems for bias, and second constraining machine learning optimization problems in order to ameliorate such bias. The first purpose typically involves treating each criterion as a (...) necessary condition for fairness. The second use involves treating criteria as sufficient conditions for fairness. Since the criteria are used for both roles, some researchers have treated them as both necessary and sufficient conditions, i.e., as definitions of algorithmic fairness. However, serious problems have been raised for the use of these fairness criteria. Under ordinary circumstances, it is impossible to satisfy multiple criteria at the same time. Moreover, there are counterexamples to both the sufficiency and necessity for fairness of each criterion. I argue that we should instead understand fairness criteria as merely providing evidence of fairness. In other words, satisfaction (or violation) of these criteria should be understood as potential evidence of fairness (or bias). Whether a criterion counts as evidence in a particular case will depend on stakeholders' background knowledge and the specific features of the system's task. This evidence account of fairness conditions provides guidance for recognizing both the appropriate uses and the limitations of fairness criteria. (shrink)