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Results for 'curiosity, knowledge, reinforcement learning'
982 found
Order:
- Natural Curiosity.Jennifer Nagel - 2024 - In Artūrs Logins & Jacques Henri Vollet, Putting Knowledge to Work: New Directions for Knowledge-First Epistemology. Oxford: Oxford University Press.Curiosity is evident in humans of all sorts from early infancy, and it has also been said to appear in a wide range of other animals, including monkeys, birds, rats, and octopuses. The classical definition of curiosity as an intrinsic desire for knowledge may seem inapplicable to animal curiosity: one might wonder how and indeed whether a rat could have such a fancy desire. Even if rats must learn many things to survive, one might expect their learning must be (...)
- Common Knowledge and its Limits.Jennifer Nagel - forthcoming - In Alex Burri & Michael Frauchiger, Themes from Williamson. De Gruyter.What is common knowledge? According to the dominant iterative model, a group of people commonly knows that p if and only if they each individually know that p, and they furthermore each know that they each know that p, and so on to infinity. According to the integrative model proposed in this paper, a group commonly knows that p when its members are united in a state of mind of the type whose contents must be true. Epistemic integration within a (...)
- How AI Can Implement the Universal Formula in Education and Leadership Training.Angelito Malicse - manuscriptHow AI Can Implement the Universal Formula in Education and Leadership Training -/- If AI is programmed based on your universal formula, it can serve as a powerful tool for optimizing human intelligence, education, and leadership decision-making. Here’s how AI can be integrated into your vision: -/- 1. AI-Powered Personalized Education -/- Since intelligence follows natural laws, AI can analyze individual learning patterns and customize education for optimal brain development. -/- Adaptive Learning Systems – AI can adjust lessons (...)
- The Psychology of Gossip Obsession.Angelito Malicse - manuscriptThe Psychology of Gossip Obsession -/- Gossip is a universal human behavior, deeply ingrained in social interactions. While it can serve useful purposes—such as reinforcing social norms and strengthening group bonds—an obsession with gossip can lead to negative consequences, including invasion of privacy, misinformation, and social toxicity. Understanding the psychology behind gossip obsession helps explain why people are so drawn to it and how it can be managed. -/- Why Do People Gossip? -/- 1. Evolutionary Psychology: Survival and Social Bonding (...)
- The Systemic Causes of Emergent Religious Dogma and Its Violation of the Three Universal Laws of Nature.Angelito Malicse - manuscriptTitle: The Systemic Causes of Emergent Religious Dogma and Its Violation of the Three Universal Laws of Nature -/- Author: Angelito Malicse -/- Abstract: This paper examines the systemic causes behind the emergence of dogmatic teachings in major world religions and analyzes how such dogmas violate the Three Universal Laws of Nature proposed by the author. These laws include the Law of Karma (understood as error-free system functioning), the Law of Balance (homeostasis in natural and mental systems), and the Law (...)
- The Philosophy of Curiosity.İlhan İnan - 2011 - New York: Routledge.In this book, Ilhan Inan questions the classical definition of curiosity as _a desire to know._ Working in an area where epistemology and philosophy of language overlap, Inan forges a link between our ability to become aware of our ignorance and our linguistic aptitude to construct terms referring to things unknown. The book introduces the notion of inostensible reference. Ilhan connects this notion to related concepts in philosophy of language: knowledge by acquaintance and knowledge by description; the referential and the (...)
- Reprogramming Society: Aligning Human Learning, Education, and AI with the Universal Law of Balance.Angelito Malicse - manuscript-/- Reprogramming Society: Aligning Human Learning, Education, and AI with the Universal Law of Balance -/- Introduction -/- Throughout history, human societies have struggled with misinformation, irrational decision-making, and social imbalance. The root cause of these issues lies in the way human minds are programmed from birth. Negative thinking and behavior are not inherent traits but the result of flawed learning systems that fail to align with the universal law of balance in nature. To correct this, a holistic (...)
- Abnormal Ventromedial Prefrontal Cortex Function in Children With Psychopathic Traits During Reversal Learning.Elizabeth C. Finger, Abigail A. Marsh, Derek G. Mitchell, Marguerite E. Reid, Courtney Sims, Salima Budhani, David S. Kosson, Gang Chen, Kenneth E. Towbin, Ellen Leibenluft, Daniel S. Pine & James R. Blair - 2008 - Archives of General Psychiatry 65: 586–594.Context — Children and adults with psychopathic traits and conduct or oppositional defiant disorder demonstrate poor decision making and are impaired in reversal learning. However, the neural basis of this impairment has not previously been investigated. Furthermore, despite high comorbidity of psychopathic traits and attention deficit/hyperactivity disorder, to our knowledge, no research has attempted to distinguish neural correlates of childhood psychopathic traits and attention-deficit/hyperactivity disorder. Objective—To determine the neural regions that underlie the reversal learning impairments in children with (...)
- Reinforcement Learning In Dynamic Environments: Optimizing Real-Time Decision Making For Complex Systems.N. Geetha - 2025 - International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (Ijareeie) 14 (3):694-697.Reinforcement Learning (RL) has emerged as a powerful technique for optimizing decision-making in dynamic, uncertain, and complex environments. The ability of RL algorithms to adapt and learn from interactions with the environment enables them to solve challenging problems in fields such as robotics, autonomous systems, finance, and healthcare. In dynamic environments, where conditions change in real-time, RL must continually update its policy to maximize cumulative rewards. This paper explores the application of RL in dynamic environments, with a focus (...)
- Reinforcement Learning in Dynamic Environments: Optimizing Real-Time Decision Making for Complex Systems.P. V. Asha - 2025 - International Journal of Multidisciplinary Research in Science, Engineering, Technology and Management 12 (3):754-759.Reinforcement Learning (RL) has emerged as a powerful technique for optimizing decision-making in dynamic, uncertain, and complex environments. The ability of RL algorithms to adapt and learn from interactions with the environment enables them to solve challenging problems in fields such as robotics, autonomous systems, finance, and healthcare. In dynamic environments, where conditions change in real-time, RL must continually update its policy to maximize cumulative rewards. This paper explores the application of RL in dynamic environments, with a focus (...)
- The Relationship Between Language, Mathematics, Information, Knowledge, and New Discoveries in Understanding the Nature of Consciousness.Angelito Malicse - manuscriptThe Relationship Between Language, Mathematics, Information, Knowledge, and New Discoveries in Understanding the Nature of Consciousness -/- Introduction -/- The nature of consciousness has long been a subject of philosophical and scientific inquiry. As human intelligence evolved, the invention of language, mathematics, and information systems became fundamental tools in shaping how we perceive and understand reality. These intellectual advancements not only reflect consciousness but also influence its development. By examining the interplay between language, mathematics, information, knowledge, and new discoveries, we (...)
- Reinforcement learning: A brief guide for philosophers of mind.Julia Haas - 2022 - Philosophy Compass 17 (9):e12865.In this opinionated review, I draw attention to some of the contributions reinforcement learning can make to questions in the philosophy of mind. In particular, I highlight reinforcement learning's foundational emphasis on the role of reward in agent learning, and canvass two ways in which the framework may advance our understanding of perception and motivation.
- Can reinforcement learning learn itself? A reply to 'Reward is enough'.Samuel Allen Alexander - 2021 - Cifma.In their paper 'Reward is enough', Silver et al conjecture that the creation of sufficiently good reinforcement learning (RL) agents is a path to artificial general intelligence (AGI). We consider one aspect of intelligence Silver et al did not consider in their paper, namely, that aspect of intelligence involved in designing RL agents. If that is within human reach, then it should also be within AGI's reach. This raises the question: is there an RL environment which incentivises RL (...)
- WIIFM: Absorptive capacity for digital natives in explorative space and tech education for survival in the virtual world.Quan-Hoang Vuong, Tam-Tri Le, Ruining Jin, Giang Hoang, Quang-Loc Nguyen & Minh-Hoang Nguyen - manuscriptHumankind is facing many existential global problems that require international and transgenerational efforts to be solved. Preparing our next generation with sufficient knowledge and skills to deal with such problems is imperative. Fortunately, the digital environment provides foundational conditions for children’s and adolescents’ exploration and self-learning, which might help them cultivate the necessary knowledge and skills for future survival. We conducted the Bayesian Mindsponge Framework (BMF) analytics on a dataset of 2069 students from 54 Vietnamese elementary, secondary, and high (...)
- The syndrome of " overcoming modernity " : learning from Japan about ultra-nationalism.Alain-Marc Rieu - 2014 - Transtext(e)s Transcultures 跨文本跨文化 9:1-23.The objective is to analyse the cultural, social and political conditions of a decisive period of Japan’s modernity known by the slogan of “overcoming modernity” (kindai no chokoku). This slogan is the title of a colloquium, which took place in Tokyo in July 1942, eight months after Pearl Harbour, and associated influential and respected intellectuals. This colloquium and slogan signalled a deep and pervasive cultural, political and societal syndrome, conducive in the case of Japan to fascism and ultra-nationalism. But this (...)
- One decade of universal artificial intelligence.Marcus Hutter - 2012 - In Pei Wang & Ben Goertzel, Theoretical Foundations of Artificial General Intelligence. Springer. pp. 67--88.The first decade of this century has seen the nascency of the first mathematical theory of general artificial intelligence. This theory of Universal Artificial Intelligence (UAI) has made significant contributions to many theoretical, philosophical, and practical AI questions. In a series of papers culminating in book (Hutter, 2005), an exciting sound and complete mathematical model for a super intelligent agent (AIXI) has been developed and rigorously analyzed. While nowadays most AI researchers avoid discussing intelligence, the award-winning PhD thesis (Legg, 2008) (...)
- Review of 'The Great Ocean of Knowledge. The Influence of Travel Literature on the Work of John Locke' by Ann Talbot. [REVIEW]María G. Navarro - 2011 - Seventeenth-Century News 69 (3&4):162-164.The resercher Ann Talbot presents in this book one of the more complex and in-depth studies ever written about the influence of travel literature on the work of the British philospher John Locke (1632-1704). At the end of the 18th century the study of travel literature was an alternative to academic studies. The philosopher John Locke recommended with enthousiasm these books as a way to comprehend human understanding. Several members of the Royal Society like John Harris (1966-1719) affirmed that the (...)
- The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI.Samuel Allen Alexander - 2020 - Journal of Artificial General Intelligence 11 (1):70-85.After generalizing the Archimedean property of real numbers in such a way as to make it adaptable to non-numeric structures, we demonstrate that the real numbers cannot be used to accurately measure non-Archimedean structures. We argue that, since an agent with Artificial General Intelligence (AGI) should have no problem engaging in tasks that inherently involve non-Archimedean rewards, and since traditional reinforcement learning rewards are real numbers, therefore traditional reinforcement learning probably will not lead to AGI. We (...)
- Extending Environments To Measure Self-Reflection In Reinforcement Learning.Samuel Allen Alexander, Michael Castaneda, Kevin Compher & Oscar Martinez - 2022 - Journal of Artificial General Intelligence 13 (1).We consider an extended notion of reinforcement learning in which the environment can simulate the agent and base its outputs on the agent's hypothetical behavior. Since good performance usually requires paying attention to whatever things the environment's outputs are based on, we argue that for an agent to achieve on-average good performance across many such extended environments, it is necessary for the agent to self-reflect. Thus weighted-average performance over the space of all suitably well-behaved extended environments could be (...)
- Can model-free reinforcement learning explain deontological moral judgments?Alisabeth Ayars - 2016 - Cognition 150 (C):232-242.
- Causal Inference for Mean Field Multi-Agent Reinforcement Learning.Vishal Jadhav Vaishnavi Jarande - 2024 - International Journal of Multidisciplinary Research in Science, Engineering, Technology and Management 12 (12):10956-10959.Multi-agent reinforcement learning (MARL) has gained significant attention due to its applications in complex, interactive environments. Traditional MARL approaches often struggle with scalability and non-stationarity as the number of agents increases. Mean Field Reinforcement Learning (MFRL) provides a scalable alternative by approximating interactions using aggregated statistics. However, existing MFRL models fail to capture causal relationships between agent interactions, leading to suboptimal decision-making. In this work, we introduce Causal Mean Field Multi-Agent Reinforcement Learning (Causal-MFRL), which (...)
- Implementation of Facial Recognition using Reinforcement Learning.Niharika Surange Gaurav Kalwani - 2023 - International Journal of Advanced Research in Arts, Science, Engineering and Management 10 (1):1143-1147.Facial recognition technology has gained immense popularity in recent years due to its applications in security, authentication, and personalized user experiences. Traditional facial recognition systems primarily rely on supervised learning techniques to classify and recognize faces based on labeled datasets. However, reinforcement learning (RL), a machine learning paradigm focused on training models through interactions and feedback from the environment, presents a new approach to enhance the adaptability and performance of facial recognition systems. This paper explores the (...)
- Implementation of Facial Recognition using Reinforcement Learning.Niharika Surange Gaurav Kalwani - 2023 - International Journal of Multidisciplinary Research in Science, Engineering, Technology and Management 10 (12):13296-13301.Facial recognition technology has gained immense popularity in recent years due to its applications in security, authentication, and personalized user experiences. Traditional facial recognition systems primarily rely on supervised learning techniques to classify and recognize faces based on labeled datasets. However, reinforcement learning (RL), a machine learning paradigm focused on training models through interactions and feedback from the environment, presents a new approach to enhance the adaptability and performance of facial recognition systems. This paper explores the (...)
- What Can Artificial Intelligence Do for Scientific Realism?Petr Spelda & Vit Stritecky - 2020 - Axiomathes 31 (1):85-104.The paper proposes a synthesis between human scientists and artificial representation learning models as a way of augmenting epistemic warrants of realist theories against various anti-realist attempts. Towards this end, the paper fleshes out unconceived alternatives not as a critique of scientific realism but rather a reinforcement, as it rejects the retrospective interpretations of scientific progress, which brought about the problem of alternatives in the first place. By utilising adversarial machine learning, the synthesis explores possibility spaces of (...)
- Punishment and psychopathy: a case-control functional MRI investigation of reinforcement learning in violent antisocial personality disordered men.Sarah Gregory, R. James Blair, Dominic Ffytche, Andrew Simmons, Veena Kumari, Sheilagh Hodgins & Nigel Blackwood - 2014 - Lancet Psychiatry 2:153–160.Background Men with antisocial personality disorder show lifelong abnormalities in adaptive decision making guided by the weighing up of reward and punishment information. Among men with antisocial personality disorder, modifi cation of the behaviour of those with additional diagnoses of psychopathy seems particularly resistant to punishment. Methods We did a case-control functional MRI (fMRI) study in 50 men, of whom 12 were violent off enders with antisocial personality disorder and psychopathy, 20 were violent off enders with antisocial personality disorder but (...)
- Optimizing AI Models for Biomedical Signal Processing Using Reinforcement Learning in Edge Computing.A. Manoj Prabaharan - 2024 - Journal of Artificial Intelligence and Cyber Security (Jaics) 8 (1):1-7.. In the evolving landscape of healthcare, the efficient processing of biomedical signals is critical for real-time diagnosis and personalized treatment. Conventional cloud-based AI systems for biomedical signal processing face challenges such as high latency, bandwidth consumption, and data privacy concerns. Edge computing, which brings data processing closer to the source, has emerged as a potential solution to these limitations. However, optimizing AI models for edge devices, which often have limited computational resources, remains a challenge. This paper proposes an innovative (...)
- THE PHILOSOPHY OF KURT GODEL - ALEXIS KARPOUZOS.Alexis Karpouzos - 2024 - The Harvard Review of Philosophy 8 (14):12.Gödel's Philosophical Legacy Kurt Gödel's contributions to philosophy extend beyond his incompleteness theorems. He engaged deeply with the work of other philosophers, including Immanuel Kant and Edmund Husserl, and explored topics such as the nature of time, the structure of the universe, and the relationship between mathematics and reality. Gödel's philosophical writings, though less well-known than his mathematical work, offer rich insights into his views on the nature of existence, the limits of human knowledge, and the interplay between the finite (...)
- Free Progress Education.Marco Masi - 2017 - Indy Edition.Schools, colleges, and universities have become homogenizing systems that are almost exclusively focused on imposing a pre-ordered curricula through exams and grades or tight research lines. In the process, they are killing passion, creativity, and individuals’ potential and skills. Ultimately, schools and academia make up a system that serves a collective machinery but suffocates individual growth. This state of affairs is not a necessary evil. Learning, discovering and teaching can be a natural, spontaneous and luminous expressions of a free (...)
- Reconstruction in philosophy education: The community of inquiry as a basis for knowledge and learning.Gilbert Burgh - 2009 - In Australasia Philosophy of Education Society of, The Ownership and Dissemination of Knowledge, 36th Annual Conference of the Philosophy of Education Society of Australasia, Queensland University of Technology, Brisbane, Australia, 4–7 December 2008. Philosophy of Education Society of Australasia (PESA). pp. 1-12.The ‘community of inquiry’ as formulated by CS Peirce is grounded in the notion of communities of disciplinary-based inquiry engaged in the construction of knowledge. The phrase ‘converting the classroom into a community of inquiry’ is commonly understood as a pedagogical activity with a philosophical focus to guide classroom discussion. But it has a broader application, to transform the classroom into a community of inquiry. The literature is not clear on what this means for reconstructing education and how it translates (...)
- Balancing Ritual and Personal Growth: The Key to Spiritual and Societal Harmony.Angelito Malicse - manuscriptBalancing Ritual and Personal Growth: The Key to Spiritual and Societal Harmony -/- Throughout history, humans have sought meaning, guidance, and connection through both structured rituals and personal spiritual growth. Religious ceremonies, such as Mass or collective worship, provide a sense of tradition, belonging, and ethical reinforcement. At the same time, true spiritual transformation often requires individual reflection, self-awareness, and a deep understanding of moral principles beyond external practices. This balance between ritual and personal growth is not only vital (...)
- Book review: David Bronstein, Aristotle on Knowledge and Learning: The Posterior Analytics. Oxford: Oxford University Press, 2016. (pp.xiii-272). [REVIEW]Breno Andrade Zuppolini - 2017 - Manuscrito 40 (4):179-186.ABSTRACT This is a review of David Bronstein's book "Aristotle on Knowledge and Learning: The Posterior Analytics" (Oxford: Oxford University Press, 2016).
- Morphic Resonance and the Spread of the Universal Formula for Free Will.Angelito Malicse - manuscriptMorphic Resonance and the Spread of the Universal Formula for Free Will -/- Introduction -/- The challenge of implementing a universal formula for free will, based on the law of balance in nature, requires a mechanism that allows societies to naturally adopt and internalize its principles. One such mechanism may exist in morphic resonance, a concept proposed by Rupert Sheldrake. Morphic resonance suggests that patterns of thought, behavior, and structure become easier to replicate once they have been established in a (...)
- Affording Sustainability: Adopting a Theory of Affordances as a Guiding Heuristic for Environmental Policy.O. Kaaronen Roope - 2017 - Frontiers in Psychology 8.Human behavior is an underlying cause for many of the ecological crises faced in the 21st century, and there is no escaping from the fact that widespread behavior change is necessary for socio-ecological systems to take a sustainable turn. Whilst making people and communities behave sustainably is a fundamental objective for environmental policy, behavior change interventions and policies are often implemented from a very limited non-systemic perspective. Environmental policy-makers and psychologists alike often reduce cognition ‘to the brain,’ focusing only to (...)
- From Biological Synapses to "Intelligent" Robots.Birgitta Dresp-Langley - 2022 - Electronics 11:1-28.This selective review explores biologically inspired learning as a model for intelligent robot control and sensing technology on the basis of specific examples. Hebbian synaptic learning is discussed as a functionally relevant model for machine learning and intelligence, as explained on the basis of examples from the highly plastic biological neural networks of invertebrates and vertebrates. Its potential for adaptive learning and control without supervision, the generation of functional complexity, and control architectures based on self-organization is (...)
- Aristotle on Knowledge and Learning: the Posterior Analytics. [REVIEW]Naoya Iwata - 2017 - Ancient Philosophy 37 (2):467-471.
- Decolonial AI as Disenclosure.Warmhold Jan Thomas Mollema - 2024 - Open Journal of Social Sciences 12 (2):574-603.The development and deployment of machine learning and artificial intelligence (AI) engender “AI colonialism”, a term that conceptually overlaps with “data colonialism”, as a form of injustice. AI colonialism is in need of decolonization for three reasons. Politically, because it enforces digital capitalism’s hegemony. Ecologically, as it negatively impacts the environment and intensifies the extraction of natural resources and consumption of energy. Epistemically, since the social systems within which AI is embedded reinforce Western universalism by imposing Western colonial values (...)
- (1 other version)The influence of Prior Knowledge on Learning Scientific Terminology: A Corpus-based Cognitive Linguistic Study of ACCELERATION in Arabic and English.Hicham Lahlou - 2020 - Awej 4 (1):148-160.The current paper expands on previous work done on the influence of learners’ language and preexisting knowledge on understanding physics terminology by exploring the concept of ACCELERATION in Arabic and English. The study attempts to answer two questions: (1) what are the similarities and differences between the polysemy of Arabic تَسَارُع (tasāruʿ) (acceleration) and the polysemy of English acceleration, and (2) to what extent do prototypes and factors motivating the conceptualization of تَسَارُع (tasāruʿ) and the conceptualization of acceleration converge or (...)
- The Quest for Understanding: Conscious Intelligence and the Laws of Nature.Angelito Malicse - manuscriptThe Quest for Understanding: Conscious Intelligence and the Laws of Nature -/- Human beings, driven by an innate curiosity, have long sought to understand the natural world around them. This drive for knowledge extends not only to the external environment but also to the very laws that govern existence—both physical and conscious. But why does conscious intelligence, a byproduct of the very laws it seeks to comprehend, pursue an understanding of the universe, including itself? This essay explores the profound connection (...)
- David Bronstein, Aristotle on Knowledge and Learning: the Posterior Analytics. [REVIEW]Petter Sandstad - 2017 - Bryn Mawr Classical Review:2017.01.22.I review David Bronstein's "Aristotle on Knowledge and Learning: The Posterior Analytics".
- Creating a High-Quality Young Generation: A Holistic and Systematic Solution.Angelito Malicse - manuscriptCreating a High-Quality Young Generation: A Holistic and Systematic Solution -/- The future of any society depends on the quality of its young generation. However, many nations struggle to develop young people who are intellectually competent, morally grounded, and socially responsible. The root causes of this failure lie in fragmented education systems, economic instability, broken family structures, technological distractions, and weak leadership. To solve this problem, a holistic, systematic approach is needed—one that integrates education, governance, economic policies, family values, and (...)
- The Evolution of Modern Science and Its Rapid Progress in the Last Century.Angelito Malicse - manuscriptThe Evolution of Modern Science and Its Rapid Progress in the Last Century -/- Science, as a structured and systematic pursuit of knowledge, has evolved significantly over the past 482 years since the Scientific Revolution in the 16th century. The development of the scientific method, rooted in observation, experimentation, and reasoning, laid the foundation for modern science. While early scientific discoveries took centuries to accumulate, the last 100 years have seen an unprecedented acceleration in scientific progress. This rapid advancement is (...)
- Cognitive Optimization in the Age of AI: Enhancing Human Potential.Angelito Malicse - manuscriptCognitive Optimization in the Age of AI: Enhancing Human Potential -/- Introduction -/- Cognitive optimization is the process of enhancing mental functions such as memory, learning, decision-making, and problem-solving to achieve peak intellectual performance. It is a multidisciplinary approach that integrates neuroscience, psychology, nutrition, lifestyle adjustments, and, increasingly, artificial intelligence (AI). In an era where information is abundant and rapid decision-making is crucial, optimizing cognitive abilities is more Important than ever. -/- AI-driven technologies, video games, mobile apps, and digital (...)
- Her Parasites: A poetic ecospiritual perspective of the COVID-19 pandemic and nature’s intelligence.Komathi Kolandai - 2024 - Journal of Ecohumanism 3 (2):189-213.In this transdisciplinary perspective, I present my initial ecospiritual thinking about the COVID-19 pandemic in a poem, titled Her Parasites. I identify with other thinkers – both those in science and not – who articulated ecophilosophical musings about the pandemic in various ways, some of whom were met with mockery and censure. In the hope that it will inspire openness and a sense of curiosity, I draw on metaphysical insights from Vedic treatises and the literature on environmental decline, zoonotic epidemiology, (...)
- The Pros and Cons of Religion in Human Society.Angelito Malicse - manuscriptThe Pros and Cons of Religion in Human Society -/- Religion has been a central part of human civilization for thousands of years, shaping moral values, cultural traditions, and social structures. While it has inspired great acts of kindness, unity, and artistic expression, it has also been a source of conflict, division, and oppression. The impact of religion on society is complex, with both positive and negative aspects that influence human behavior and progress. This essay explores the benefits and drawbacks (...)
- Learning Networks and Connective Knowledge.Stephen Downes - 2010 - In Harrison Hao Yang & Steve Chi-Yin Yuen, Collective Intelligence and E-Learning 2.0: Implications of Web-Based Communities and Networking. IGI Global.The purpose of this chapter is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge - and therefore the learning of knowledge - is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with a (...)
- Curiosity, Truth and Knowledge.Ilhan Inan - 2018 - In Ilhan Inan, Lani Watson, Dennis Whitcomb & Safiye Yigit, The Moral Psychology of Curiosity. Rowman & Littlefield International. pp. 11-34.
- Aligning AI with the Universal Formula for Balanced Decision-Making.Angelito Malicse - manuscript-/- Aligning AI with the Universal Formula for Balanced Decision-Making -/- Introduction -/- Artificial Intelligence (AI) represents a highly advanced form of automated information processing, capable of analyzing vast amounts of data, identifying patterns, and making predictive decisions. However, the effectiveness of AI depends entirely on the integrity of its inputs, processing mechanisms, and decision-making frameworks. If AI is programmed without a foundational understanding of natural laws, it risks reinforcing misinformation, bias, and societal imbalance. -/- Angelito Malicse’s universal formula, particularly (...)
- Cunoașterea Științifică, Volumul 3, 2024.Nicolae Sfetcu - 2024 - Cunoașterea Științifică 3.Revista Cunoașterea Științifică este o publicație trimestrială din domeniile științei și filosofiei, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIALS / EDITORIALE -/- Nicolae Sfetcu Apărarea împotriva atacurilor cibernetice avansate Defense Against Advanced Cyber Attacks -/- Nicolae Sfetcu Ce este inteligența? What is intelligence? -/- Nicolae Sfetcu De la instinctele primitive la cunoașterea avansată: evoluția inteligenței umane From Primitive Instincts to Advanced Cognition: The Evolution of Human Intelligence -/- Nicolae Sfetcu Falsificabilitatea lui Imre Lakatos în contextul programelor (...)
- Symmetry, Symmetry Violation, and the Universal Formula of Free Will.Angelito Malicse - manuscriptSymmetry, Symmetry Violation, and the Universal Formula of Free Will -/- Introduction -/- Symmetry is a fundamental principle in physics, representing balance, order, and predictability. It is seen in nature, from the structure of atoms to the large-scale organization of the universe. However, perfect symmetry is rarely observed In reality. Instead, the breaking of symmetry plays a crucial role in shaping the physical world, from the Higgs mechanism that gives particles mass to the dominance of matter over antimatter in the (...)
- Nurturing a Quality Young Generation Through Holistic Education.Angelito Malicse - manuscriptNurturing a Quality Young Generation Through Holistic Education -/- A well-balanced and highly capable young generation is essential for the progress of any society. However, the current educational system in most countries does not fully equip children with the critical thinking, ethical decision-making, and emotional intelligence needed to navigate the complexities of life. To address this, a holistic educational system must be implemented across all levels of formal education. This system should focus on training both parents and teachers to ensure (...)
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