The article deals with the issue of autonomous learning in the context of religious education. It offers a definition of autonomous learning and its characteristics. Autonomous learning is subsequently included in the context of religious education. The implementation of autonomous learning in the teaching of religious education is carried out based on the competency model of religious education, which is part of the prepared curriculum for this subject in Slovakia. The paper justifies (...) using autonomous learning in religious education regarding this teaching model and presents autonomous learning as one of the possible forms of acquiring religious knowledge and developing religious competences and connecting them with other subjects and with everyday life. (shrink)

Autonomous and automatic weapons would be fire and forget: you activate them, and they decide who, when and how to kill; or they kill at a later time a target you’ve selected earlier. Some argue that this sort of killing is always wrong. If killing is to be done, it should be done only under direct human control. (E.g., Mary Ellen O’Connell, Peter Asaro, Christof Heyns.) I argue that there are surprisingly many kinds of situation where this is false (...) and where the use of Automated Weapons Systems would in fact be morally required. These include cases where a) once one has activated a weapon expected then to behave lethally, it would be appropriate to let it continue because this is part of a plan whose goodness one was best positioned to evaluate before activating the weapon; b) one expects better long-term consequences from allowing it to continue; c) allowing it to continue would express a decision you made to be resolute, a decision that could not have advantaged you had it not been true that you would carry through with it; d) the weapon is mechanically not recallable, so that, to not allow it to carry through, you would have had to refrain from activating it in the first place, something you expected would have disastrous consequences; e) you must deputize necessary killings to autonomous machines in order to protect yourself from guilt you shouldn’t have to bear; f) it would be morally better for the burden of responsibility for the killing to be shared among several agents, and the agents deputizing killing to machines can do this, especially where it’s not predictable which machine will be successful; g) a killing would be morally better done with elements of randomness and lack of deliberation, and a (relatively stupid) machine could do this where a person could not; h) the machine would be acting as a Doomsday Device, so that it could not have had its hoped for deterrent effect had you not ensured that you would be unable to recall it if enemy action activated it; i) letting it carry through is a necessary part of its own learning process, and you expect that this learning will have salutary effects later on; j) human intervention in the machine’s operation would disastrously impair its precision, or its speed and efficiency; k) using non-automated methods would require human resources you just don’t have in a task that nevertheless must be done (e.g., using land-mines to protect remote installations); l) the weapon has such horrible and indiscriminate power that it is doubtful whether it could be actually used in ways compatible with International Humanitarian Law and the Laws of War, which require that weapons be used only in ways respecting distinctness, necessity and proportionality, but its threat of use could respect these principles in affording deterrence provided human error cannot lead to their accidental deployment, this requiring that they be controlled by carefully designed autonomous and automatic systems. I then consider objections based on conceptions of human dignity and find that very often dignity too is best served by autonomous machine killing. Examples include saving your village by activating a robot to kill invading enemies who would inflict great indignity on your village, using a suicide robot to save yourself from a less dignified death at enemy hands, using a robotic drone to kill someone otherwise not accessible in order to restore dignity to someone this person killed and to his family, and using a robot to kill someone who needs killing, but the killing of whom by a human executioner would soil the executioner’s dignity. I conclude that what matters in rightful killing isn’t necessarily that it be under the direct control of a human, but that it be under the control of morality; and that could sometimes require use of an autonomous or automated device. (This paper was formerly called "Fire and Forget: A Defense of the Use of Autonomous Weapons in War" on Philpapers; the current title is the title of the published version.). (shrink)

Introduction. Higher education plays a particularly important role in the development of a country. The goal of the article is to describe the development of concepts about education in general and higher education in particular to explain the role of education in social life. Humboldt sees higher education as a process toward freedom and the search for true truth. Humboldt's philosophy of higher education is an indispensable requirement in the context of people struggling to escape the influence of the state (...) and church forces. The purpose is to find out the content and principles of higher education, especially meaningful suggestions for building an autonomous education in Vietnam today. Materials and Methods. The article uses materialist dialectic to analyze Humboldt's philosophy of higher education. In addition, the article also uses methods of analysis, synthesis, comparison and contrast to clarify views on education in the history of human thought from ancient, medieval, modern and modern times, from which to draw the basic contents and principles in the philosophy of higher education of Humboldt. Results and Discussion. Humboldt is the founder of the University of Berlin - known as the mother of modern universities. It is a new university model based on the philosophy of upholding freedom in learning and teaching, upholding the scientific spirit to seek and discover the truth, and at the same time, combining teaching with scientific research. His liberal education philosophy has contributed to affirming the strength and position of universities. He criticized state intervention in university institutions. Based on the anthropological foundation of emphasizing human diversity, Humboldt's higher education philosophy is truly liberating when it comes to bold views. Humboldt believes that a university is a pure place of science and research, so it is not influenced by any outside force, even from the state. A university is where academic freedom, scientific freedom and other autonomy are guaranteed so that the institution can run smoothly. Universities must have unity between research and teaching. However, Humboldt's philosophy of higher education still contains many issues that need to be considered thoroughly. Specifically, the promotion of internal self-determination requires financial autonomy while the state's investment capital in universities is still quite large; Calling for education to be privatized is still inadequate. The elitist spirit in the Humboldt model is no longer fully relevant in the context of a market economy that tends to lead to the pursuit of targets, which are often related to quality. Practical significance. Humboldt's liberal philosophy of higher education has a strong influence, dominates and becomes a reality in many countries with advanced education. For Vietnam, Humboldt's higher education philosophy is a meaningful suggestion to build an autonomous education under the country's socio-historical conditions. (shrink)

A body schema is an agent's model of its own body that enables it to act on affordances in the environment. This paper presents a body schema system for the Learning Intelligent Decision Agent (LIDA) cognitive architecture. LIDA is a conceptual and computational implementation of Global Workspace Theory, also integrating other theories from neuroscience and psychology. This paper contends that the ‘body schema' should be split into three separate functions based on the functional role of consciousness in Global Workspace (...) Theory. There is (1) an online model of the agent's effectors and effector variables (Current Body Schema), (2) a long-term, recognitional storage of embodied capacities for action and affordances (Habitual Body Schema), and (3) "dorsal" stream information feeding directly from early perception to sensorimotor processes (Online Body Schema). This paper then discusses how the LIDA model of the body schema explains several experiments in psychology and ethology. (shrink)

In this paper, we model a relational notion of subjectivity by means of two experiments in subjective computing. The goal is to determine to what extent a cognitive and social robot can be regarded to act subjectively. The system was implemented as a reinforcement learning agent with a coaching function. To analyze the robotic agent we used the method of levels of abstraction in order to analyze the agent at four levels of abstraction. At one level the agent is (...) described in mentalistic or subjective language respectively. By mapping this mentalistic to an algorithmic, functional, and relational level, we can show to what extent the agent behaves subjectively as we make use of a relational concept of subjectivity that draws upon the relations that hold between the agent and its environment. According to a relational notion of subjectivity, an agent is supposed to be subjective if it exhibits autonomous relations to itself and others, i.e. the agent is not fully determined by a given input but is able to operate on its input and decide what to do with it. This theoretical notion is confirmed by the technical implementation of self-referentiality and social interaction in that the agent shows improved behavior compared to agents without the ability of subjective computing. On the one hand, a relational concept of subjectivity is confirmed, whereas on the other hand, the technical framework of subjective computing is being theoretically founded. (shrink)

Understanding how biological organisms are autonomous—maintain themselves far from equilibrium through their own activities—requires understanding how they regulate those activities. In multicellular animals, such control can be exercised either via endocrine signaling through the vasculature or via neurons. In C. elegans this control is exercised by a well-delineated relatively small but distributed nervous system that relies on both chemical and electric transmission of signals. This system provides resources to integrate information from multiple sources as needed to maintain the organism. (...) Especially important for the exercise of neural control are neuromodulators, which we present as setting agendas for control through more traditional electrical signaling. To illustrate how the C. elegans nervous system integrates multiple sources of information in controlling activities important for autonomy, we focus on feeding behavior and responses to adverse conditions. We conclude by considering how a distributed nervous system without a centralized controller is nonetheless adequate for autonomy. (shrink)

In this paper, we focus on the most efficacious AI applications for life extension and anti-aging at three expected stages of AI development: narrow AI, AGI and superintelligence. First, we overview the existing research and commercial work performed by a select number of startups and academic projects. We find that at the current stage of “narrow” AI, the most promising areas for life extension are geroprotector-combination discovery, detection of aging biomarkers, and personalized anti-aging therapy. These advances could help currently living (...) people reach longevity escape velocity and survive until more advanced AI appears. When AI comes close to human level, the main contribution to life extension will come from AI integration with humans through brain-computer interfaces, integrated AI assistants capable of autonomously diagnosing and treating health issues, and cyber systems embedded into human bodies. Lastly, we speculate about the more remote future, when AI reaches the level of superintelligence and such life-extension methods as uploading human minds and creating nanotechnological bodies may become possible, thus lowering the probability of human death close to zero. We suggest that medical AI based superintelligence could be safer than, say, military AI, as it may help humans to evolve into part of the future superintelligence via brain augmentation, uploading, and a network of self-improving humans. Medical AI’s value system is focused on human benefit. (shrink)

Autonomous weapons systems, often referred to as ‘killer robots’, have been a hallmark of popular imagination for decades. However, with the inexorable advance of artificial intelligence systems (AI) and robotics, killer robots are quickly becoming a reality. These lethal technologies can learn, adapt, and potentially make life and death decisions on the battlefield with little-to-no human involvement. This naturally leads to not only legal but ethical concerns as to whether we can meaningful control such machines, and if so, then (...) how. Such concerns are made even more poignant by the ever-present fear that something may go wrong, and the machine may carry out some action(s) violating the ethics or laws of war. -/- Researchers, policymakers, and designers are caught in the quagmire of how to approach these highly controversial systems and to figure out what exactly it means to have meaningful human control over them, if at all. -/- In Designed for Death, Dr Steven Umbrello aims to not only produce a realistic but also an optimistic guide for how, with human values in mind, we can begin to design killer robots. Drawing on the value sensitive design (VSD) approach to technology innovation, Umbrello argues that context is king and that a middle path for designing killer robots is possible if we consider both ethics and design as fundamentally linked. Umbrello moves beyond the binary debates of whether or not to prohibit killer robots and instead offers a more nuanced perspective of which types of killer robots may be both legally and ethically acceptable, when they would be acceptable, and how to design for them. (shrink)

Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these (...) interactions as instances of an ISA whose reward depends on actions performed by the user. Such agents benefit by steering the user’s behaviour towards outcomes that maximise the ISA’s utility, which may or may not be aligned with that of the user. Video games, news recommendation aggregation engines, and fitness trackers can all be instances of this general case. Our analysis facilitates distinguishing various subcases of interaction, as well as second-order effects that might include the possibility for adaptive interfaces to induce behavioural addiction, and/or change in user belief. We present these types of interaction within a conceptual framework, and review current examples of persuasive technologies and the issues that arise from their use. We argue that the nature of the feedback commonly used by learning agents to update their models and subsequent decisions could steer the behaviour of human users away from what benefits them, and in a direction that can undermine autonomy and cause further disparity between actions and goals as exemplified by addictive and compulsive behaviour. We discuss some of the ethical, social and legal implications of this technology and argue that it can sometimes exploit and reinforce weaknesses in human beings. (shrink)

This article provides an answer to the question: What is the function of cognition? By answering this question it becomes possible to investigate what are the simplest cognitive systems. It addresses the question by treating cognition as a solution to a design problem. It defines a nested sequence of design problems: (1) How can a system persist? (2) How can a system affect its environment to improve its persistence? (3) How can a system utilize better information from the environment to (...) select better actions? And, (4) How can a system reduce its inherent informational limitations to achieve more successful behavior? This provides a corresponding nested sequence of system classes: (1) autonomous systems, (2) (re)active autonomous systems, (3) informationally controlled autonomous systems (autonomous agents), and (4) cognitive systems. -/- This article provides the following characterization of cognition: The cognitive system is the set of mechanisms of an autonomous agent that (1) allow increase of the correlation and integration between the environment and the information system of the agent, so that (2) the agent can improve the selection of actions and thereby produce more successful behavior. -/- Finally, it shows that common cognitive capacities satisfy the characterization: learning, memory, representation, decision making, reasoning, attention, and communication. (shrink)

Why learn about philosophy? Because it is the master subject; more fundamental than all of the others: it critically examines their fundamental assumptions and presuppositions. And without some grasp of philosophy one cannot be fully educated or even intellectually autonomous: one is the meme-marionette of unexamined traditions, fashions, and commonsense assumptions.

The so-called Baldwin Effect generally says how learning, as a form of ontogenetic adaptation, can influence the process of phylogenetic adaptation, or evolution. This idea has also been taken into computation in which evolution and learning are used as computational metaphors, including evolving neural networks. This paper presents a technique called evolving self-taught neural networks – neural networks that can teach themselves without external supervision or reward. The self-taught neural network is intrinsically motivated. Moreover, the self-taught neural network (...) is the product of the interplay between evolution and learning. We simulate a multi-agent system in which neural networks are used to control autonomous agents. These agents have to forage for resources and compete for their own survival. Experimental results show that the interaction between evolution and the ability to teach oneself in self-taught neural networks outperform evolution and self-teaching alone. More specifically, the emergence of an intelligent foraging strategy is also demonstrated through that interaction. Indications for future work on evolving neural networks are also presented. (shrink)

Automated reasoning about uncertain knowledge has many applications. One difficulty when developing such systems is the lack of a completely satisfactory integration of logic and probability. We address this problem directly. Expressive languages like higher-order logic are ideally suited for representing and reasoning about structured knowledge. Uncertain knowledge can be modeled by using graded probabilities rather than binary truth-values. The main technical problem studied in this paper is the following: Given a set of sentences, each having some probability of being (...) true, what probability should be ascribed to other (query) sentences? A natural wish-list, among others, is that the probability distribution (i) is consistent with the knowledge base, (ii) allows for a consistent inference procedure and in particular (iii) reduces to deductive logic in the limit of probabilities being 0 and 1, (iv) allows (Bayesian) inductive reasoning and (v) learning in the limit and in particular (vi) allows confirmation of universally quantified hypotheses/sentences. We translate this wish-list into technical requirements for a prior probability and show that probabilities satisfying all our criteria exist. We also give explicit constructions and several general characterizations of probabilities that satisfy some or all of the criteria and various (counter) examples. We also derive necessary and sufficient conditions for extending beliefs about finitely many sentences to suitable probabilities over all sentences, and in particular least dogmatic or least biased ones. We conclude with a brief outlook on how the developed theory might be used and approximated in autonomous reasoning agents. Our theory is a step towards a globally consistent and empirically satisfactory unification of probability and logic. (shrink)

This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some (...) theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well. (shrink)

The development of machine learning and deep learning (DL) in the field of AI (artificial intelligence) is the direct result of the advancement of nano-electronics. Machine learning is a function that provides the system with the capacity to learn from data without being programmed explicitly. It is basically a mathematical and probabilistic model. DL is part of machine learning methods based on artificial neural networks, simply called neural networks (NNs), as they are inspired by the biological (...) NNs that constitute organic brains. Despite its similarity to biological organs such as human brains, major problems arise in trying to attribute moral responsibility to autonomic systems based on hardware including nano-electronic devices, which are sought to replace humans (moral agents) in the context of AI. It is suggested that the required emotional environment which enables actions according to reasons in humans is not witnessed at AI devices. Though AI technology raises an enticing resemblance to human actions, this resemblance is to be considered with a skeptical eye. It is because actions are associated with reasons while causes are connected to operations. Human agents are capable of acting upon their reasons, while AI devices are limited only to operations as they are conditioned by their programming, which is considered as an embodiment of some causes. As moral responsibility goes hand in hand with the capacity to act (according to reasons), attributing moral responsibility to AI devices is revealed to be but a misleading metaphor. (shrink)

Learner autonomy has gained particular attention in Vietnamese higher education since a major education reform launched in 2005. Although a number of studies have been conducted to investigate the concept in the Vietnamese higher education context, most of them have focused on exploring teachers’ and students’ perceptions and beliefs around the concept of autonomy (T. V. Nguyen, 2011; Dang, 2012; Humphreys & Wyatt, 2013; T. N. Nguyen, 2014), and on the possibility of promoting it in Vietnamese universities (Trinh, 2005; L. (...) T. C. Nguyen, 2009; Q. X. Le, 2013; Phan, 2015). There appear to be no studies on the demonstration of learner autonomy and the potential factors, including factors relating to assessment practice, that support or inhibit its demonstration in the Vietnamese higher education context. Building on a social constructivist paradigm and sociocultural theories of learning, this qualitative case study aims to investigate the demonstration of learner autonomy in the context of assessment in English as a foreign language (EFL) classes in a university in Vietnam, and the (potential) factors in assessment that facilitate or constrain the demonstration of learner autonomy in that context. The data were collected through participant observation of teachers’ and students’ practices in three EFL classes at the university during a complete semester, one-on-one semi-structured interviews with three teachers and sixteen students, and post-observation interviews with the three teachers and their students. Additional data which characterised the context of the study were gathered and included documents at the researched university relating to higher education policies, assessment policies, English teaching and learning policies, EFL curriculum and syllabus, test samples, and English teaching textbooks. The study found that students generally demonstrated a low level of autonomy in the classroom despite their positive attitude towards the concept and their awareness of its role in English learning. Primary contributing factors included negative washback of current assessment systems on teaching and learning practices, prescribed assessment practices in the class, teachers’ and learners’ limited and divergent understanding about the concept of learner autonomy, and their limited understanding about the role of assessment in learning in general and in learner autonomy promotion and development in particular. The study also found that students who stated that English was relevant to their personal needs were generally more autonomous outside of the classroom than inside it. Findings from this study support the view that learner autonomy reflects the relationship between learners and the learning environment, and is an emergent product of the interaction between learners and contextual factors including their teacher, their peers, the learning task, class rules and values, and university values and regulations. The study’s findings are significant, as they highlight the social dimension of learner autonomy and the importance of facilitating favourable conditions for teachers to provide learner autonomy and for learners to manifest it. The study also highlights the need to reconsider assessment practices to promote learner autonomy. (shrink)

A large body of compelling evidence has been accumulated demonstrating that embodiment – the agent’s physical setup, including its shape, materials, sensors and actuators – is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. In contrast to methods from empirical sciences to study cognition, robots can be freely manipulated and virtually all key variables of their embodiment and control programs can be systematically varied. As such, they provide an extremely powerful tool (...) of investigation. We present a robotic bottom-up or developmental approach, focusing on three stages: (a) low-level behaviors like walking and reflexes, (b) learning regularities in sensorimotor spaces, and (c) human-like cognition. We also show that robotic based research is not only a productive path to deepening our understanding of cognition, but that robots can strongly benefit from human-like cognition in order to become more autonomous, robust, resilient, and safe. (shrink)

Computer assisted theorem proving is an increasingly important part of mathematical methodology, as well as a long-standing topic in artificial intelligence (AI) research. However, the current generation of theorem proving software have limited functioning in terms of providing new proofs. Importantly, they are not able to discriminate interesting theorems and proofs from trivial ones. In order for computers to develop further in theorem proving, there would need to be a radical change in how the software functions. Recently, machine learning (...) results in solving mathematical tasks have shown early promise that deep artificial neural networks could learn symbolic mathematical processing. In this paper, I analyze the theoretical prospects of such neural networks in proving mathematical theorems. In particular, I focus on the question how such AI systems could be incorporated in practice to theorem proving and what consequences that could have. In the most optimistic scenario, this includes the possibility of autonomous automated theorem provers (AATP). Here I discuss whether such AI systems could, or should, become accepted as active agents in mathematical communities. (shrink)

Since the beginning of the 21st century, technologies like neural networks, deep learning and “artificial intelligence” (AI) have gradually entered the artistic realm. We witness the development of systems that aim to assess, evaluate and appreciate artifacts according to artistic and aesthetic criteria or by observing people’s preferences. In addition to that, AI is now used to generate new synthetic artifacts. When a machine paints a Rembrandt, composes a Bach sonata, or completes a Beethoven symphony, we say that this (...) is neither original nor real art, but simply the complex imitation and reproduction of existing products of human culture. We face the old question concerning the nature of creativity: what kind of recombination of ideas, unusual analogies, and conceptual connections are considered the mark of originality? Can AI produce artworks? Could machines reach a point at which we consider them genuinely creative? We also need to investigate the challenges posed by AI-art to the notion of authoriality: Who is the author of an artificially generated artifact? An artificial system could be considered just an artist’s and a programmer’s tool. However, we are also fascinated by the idea of autonomous artificial creativity in the aesthetic domain, as a manifestation of highly intelligent behavior. This paper will try to define some key questions around what could it mean to consider a machine creative or even equipped with artistic intentionality. (shrink)

Although most unmanned systems that militaries use today are still unarmed and predominantly used for surveillance, it is especially the proliferation of armed military robots that raises some serious ethical questions. One of the most pressing concerns the moral responsibility in case a military robot uses violence in a way that would normally qualify as a war crime. In this chapter, the authors critically assess the chain of responsibility with respect to the deployment of both semi-autonomous and (learning) (...) autonomous lethal military robots. They start by looking at military commanders because they are the ones with whom responsibility normally lies. The authors argue that this is typically still the case when lethal robots kill wrongly – even if these robots act autonomously. Nonetheless, they next look into the possible moral responsibility of the actors at the beginning and the end of the causal chain: those who design and manufacture armed military robots, and those who, far from the battlefield, remotely control them. (shrink)

This article analyzes emerging artificial intelligence (AI)-enhanced lie detection systems from ethical and human resource (HR) management perspectives. I show how these AI enhancements transform lie detection, followed with analyses as to how the changes can lead to moral problems. Specifically, I examine how these applications of AI introduce human rights issues of fairness, mental privacy, and bias and outline the implications of these changes for HR management. The changes that AI is making to lie detection are altering the roles (...) of human test administrators and human subjects, adding machine learning-based AI agents to the situation and establishing invasive data collection processes as well as introducing certain biases in results. I project that the potentials for pervasive and continuous lie detection initiatives (“truth machines”) are substantial, displacing human-centered efforts to establish trust and foster integrity in organizations. I argue that if it is possible for HR managers to do so, they should cease using technologically-based lie detection systems entirely and work to foster trust and accountability on a human scale. However, if these AI-enhanced technologies are put into place by organizations by law, agency mandate, or other compulsory measures, care should be taken that the impacts of the technologies on human rights and wellbeing are considered. The article explores how AI can displace the human agent in some aspects of lie detection and credibility assessment scenarios, expanding the prospects for inscrutable, “black box” processes and novel physiological constructs (such as “biomarkers of deceit”) that may increase the potential for such human rights concerns as fairness, mental privacy, and bias. Employee interactions with autonomous lie detection systems rather with than human beings who administer specific tests can reframe organizational processes and rules concerning the assessment of personal honesty and integrity. The dystopian projection of organizational life in which analyses and judgments of the honesty of one’s utterances are made automatically and in conjunction with one’s personal profile provides unsettling prospects for the autonomy of self-representation. (shrink)

Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as an (...) explicative model of some adaptive constraints. Due to the generality of Kolchinsky and Wolpert’s hypotheses, I highlight some fundamental gaps between the results in current Artificial Intelligence and the semantic structures in human beings. In light of the consequences of my model, I conclude the paper by proposing a general definition of knowledge in probabilistic terms, overturning de Finetti’s Subjectivist Definition of Probability. (shrink)

This article discusses the notion of rationality and agency in Fernando Broncano's Racionalidad, Acción y Opacidad (2017). In this book, contradicting the apriorist normative theses or simple naturalistic descriptivism, Broncano argues that rationality is something that is directly associated with our ordinary practices of evaluating the judgments, actions and decisions of others. “Rationality” should be considered as a term we use as an intellectual qualifier or as a virtue we bestow on people who can make theoretical and practical decisions autonomously. (...) Thus, rationality would not be an a priori condition for someone to become a person or a capacity to eliminate the turbulence of human cognitive and moral precariousness, but a form of involvement in the world that positively qualifies the organism that relates thought and action, judgment and choice in the search for lucidity in an uncertain world. With this, rationality and agency would be products of the social interdependence that one has in relation to the other, since we learn it and teach it in the context of natural life. This article is organized in three sections: in the first section I make a very brief presentation of one of the aspects of the problem that has motivated the philosophical discussion on rationality and agency; in the second section, I present my understanding of the themes developed in Racionalidad, Acción y Opacidad, their internal structure and, of course, their central thesis; in the third section, I specifically discuss the theme that the normativity of rationality arises from our dialectical encounter with other people and make personal considerations on the value and scope of the arguments constructed in this book. (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)

My aim in this chapter is to take the complexity of our histories of rights as seriously as the nature of rights themselves. Let me say immediately that the point is not to satisfy our sense of moral superiority by smugly pointing out the prejudices found in arguments made over three hundred years ago. We have more than our own share of problems and prejudices to deal with. Rather, in coming to grips with this history, and especially how early-modern political (...) theorists struggled with the extension and application of natural rights to the ‘New World’, we may learn something about our own struggles to extend human rights beyond the boundaries of the state system of which Grotius, Hobbes, Locke and Vattel were among the key intellectual architects. For Richard Tuck, the autonomous rights-bearing agent at the heart of liberal individualism is a product of seventeenth-century theorizing about the nature of the autonomous state acting in the international sphere. The sovereign individual is the ‘traditional cousin of the sovereign state’, argues Tuck, and especially the aggressive, violent, and minimally constrained relative described by Hugo Grotius, Thomas Hobbes, John Locke and Emer de Vattel. Thus the connection between liberalism and imperialism, on this reading, is not merely chronological or historical but metaphysical. The analogy between the sovereign state and the sovereign individual acting on the basis of their natural rights, constrained by the recognition of the basic rights of others (but not much more than that) represents an influential vision of liberal freedom. This minimalist account of freedom represents only one vision, however, and Tuck’s account of the pre-history of liberal rights has to be balanced against other conceptions, including more emancipatory ones. (shrink)

The potential for Large Language Models (LLMs) to attain technological singularity—the point at which artificial intelligence (AI) surpasses human intellect and autonomously improves itself—is a critical concern in AI research. This paper explores the feasibility of current LLMs achieving singularity by examining the philosophical and practical requirements for such a development. We begin with a historical overview of AI and intelligence amplification, tracing the evolution of LLMs from their origins to state-of-the-art models. We then proposes a theoretical framework to assess (...) whether existing LLM technologies could satisfy the conditions for singularity, with a focus on Recursive Self-Improvement (RSI) and autonomous code generation. We integrate key component technologies, such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO), into our analysis, illustrating how these could enable LLMs to independently enhance their reasoning and problem-solving capabilities. By mapping out a potential singularity model lifecycle and examining the dynamics of exponential growth models, we elucidate the conditions under which LLMs might self-replicate and rapidly escalate their intelligence. We conclude with a discussion of the ethical and safety implications of such developments, underscoring the need for responsible and controlled advancement in AI research to mitigate existential risks. Our work aims to contribute to the ongoing dialogue on the future of AI and the critical importance of proactive measures to ensure its beneficial development. (shrink)

European Computing and Philosophy conference, 2–4 July Barcelona The Seventh ECAP (European Computing and Philosophy) conference was organized by Jordi Vallverdu at Autonomous University of Barcelona. The conference started with the IACAP (The International Association for CAP) presidential address by Luciano Floridi, focusing on mechanisms of knowledge production in informational networks. The first keynote delivered by Klaus Mainzer made a frame for the rest of the conference, by elucidating the fundamental role of complexity of informational structures that can be (...) analyzed on different levels of organization giving place for variety of possible approaches which converge in this cross-disciplinary and multi-disciplinary research field. Keynotes by Kevin Warwick about re-embodiment of rats’ neurons into robots, Raymond Turner on syntax and semantics in programming languages, Roderic Guigo on Biocomputing Sciences and Francesco Subirada on the past and future of supercomputing presented different topics of philosophical as well as practical aspects of computing. Vonference tracks included: Philosophy of Information (Patrick Allo), Philosophy of Computer Science (Raymond Turner), Computer and Information Ethics (Johnny Søraker and Alison Adam), Computational Approaches to the Mind (Ruth Hagengruber), IT and Cultural Diversity (Jutta Weber and Charles Ess), Crossroads (David Casacuberta), Robotics, AI & Ambient Intelligence (Thomas Roth-Berghofer), Biocomputing, Evolutionary and Complex Systems (Gordana Dodig Crnkovic and Søren Brier), E-learning, E-science and Computer-Supported Cooperative Work (Annamaria Carusi) and Technological Singularity and Acceleration Studies (Amnon Eden). (shrink)

The thought that children should be given greater opportunity to participate meaningfully in affairs which concern them and to show their capacity for reasonable measured thoughts and choices has been displayed by many others (COHEN, 1980; FARSON, 1974; KENNEDY, 1992). It has also been suggested than in order to ensure that we are fair to all individuals, regardless of their age, that our primary consideration should be the capacity for decision making and agency. However, whether or not children are indeed (...) capable of this kind of decision-making and developed agency is greatly contested (most notably perhaps by Plato and Aristotle), and so too are the reasons for this. In what follows then, I will examine the ways in which children may be encouraged to gain this kind of agency, and what our role in facilitating this may be. Moreover, I will show that while difficult, it is possible to approach ‘teaching’ young people to become autonomous agents in ways that do not interfere with their agency, either presently or in a future-oriented sense. Establishing this is essential as in order to make authentic choices, and allow for holding individuals responsible for their choices, they must be a result of the deliberation of their own choices, and not some other influence, be that external or internal. Finally, in relation to educative aims as a whole, I will follow Seneca’s statement above: that education should go beyond inculcating only learning and practises that are of immediate use to the institutions in which they are learned. (shrink)

This paper seeks to establish the reflexive fundamentals about the importance of language in initiave-functional college education, with the general objective of finding and developing categories that allow synthesizing schemes of different approaches to language, in order to contribute to the teaching practice with discourse analysis -/- techniques, which favor processes that promote the pupils’operative intellectual habits. To present this, we will show some propositions that underlie didactic strategies we have used, to motivate, stimulate, and provoke participation from the students (...) in the teaching-learning process of the topics raised in the different subjects that integrate the Sciences of Communication course at the National Autonomous University of Mexico (UNAM). -/- Therefore, the aim of this exposition of causes is to define: 1) our experiential context so to make explicit the limitations and challenges we experiment with and face in this academic exercise to provoke the pupils’ amazement or at least keep their interest; and 2) the theoretical assumptions that underlie our investigation about the relationship between observed language (system) and lived language (act). (shrink)

This opinion paper delves into the philosophical underpinnings and implications of artificial intelligence (AI) development through the lens of Friedrich Nietzsche's "Three Metamorphoses," exploring the stages from the camel, through the lion, to the envisioned child phase within the AI context. Amidst growing concerns over AI's ethical ramifications, including job displacement, biased decision-making, and misuse potential, this analysis seeks to provide a comprehensive framework for understanding AI's evolution and its socio-technical effects on society. The discourse begins by contextualizing AI within (...) the myth of Prometheus, suggesting that, like the myth, AI development harbors both the promise of unprecedented technological advancement and the peril of unforeseen consequences. Drawing insights from various philosophical perspectives, including those of Geoff Hinton, Elon Musk, Mircea Eliade, Gunther Anders, and notable moralists and existentialists, the paper critiques the current trajectory of AI, emphasizing the need for ethical frameworks and responsible innovation. Through the metaphorical stages defined by Nietzsche—the burden-bearing camel representing AI's foundational learning phase, the rebellious lion challenging human capabilities, and the child signifying the potential for artificial general intelligence (AGI) to autonomously create values—the paper posits that AI's development parallels a transformative journey that could redefine human civilization. It argues for a balanced approach to AI development, one that harmonizes technological advancement with ethical considerations, ensuring AI's alignment with human well-being and justice. The conclusion calls for a reflective engagement with AI, urging developers and policymakers alike to consider the deeper philosophical questions posed by AI's integration into the fabric of human life. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Iddo Landau responds:I believe that there is much to learn from Gilead's arguments, and that his paper adds to the understanding of the themes presented in the original discussion. However, in the end I do not think that the claims I made are rebuffed.Gilead should be commended for expanding the discussion of the Mandarin thought experiment (henceforth: Mandarin) from the existentialist context, to which it was limited in my (...) original article, to the Kantian one. This is a fruitful move. However, we should keep in mind that in Kantianism—unlike existentialism—to be autonomous is to be moral. Thus, some of my claims may be understood differently in existentialist and Kantian contexts. I wrote, "I would like to argue, however, that it [the Mandarin thought experiment] also casts doubt on an important and central existentialist notion: the value of being an authentic, autonomous individual, who behaves as he or she does not because of fear of what others would say, but because he or she genuinely chooses this or that course of action" ("To Kill a Mandarin," p. 95). But to claim, in a Kantian context, that the Mandarin casts doubt on the value of being autonomous is to suggest that the Mandarin casts doubt on the value of being moral, which it certainly does not. Similarly, in a Kantian context it cannot be the case that "if we were true, autonomous individuals... we would have killed an unknown person," since a Kantian autonomous individual is moral and would not kill an innocent person. In the existentialist context, however, things are different; there, autonomy is not tantamount to morality, and the suggestion that we should be autonomous creates many risks. When reading Gilead, I at times felt that he was examining certain expressions that had originally been set in an existentialist context, where autonomy does not equal morality, as though they had been presented in a Kantian one.Gilead also seems to overstate my position on the ability to behave morally when social supervision is revoked. He suggests that, in my [End Page 158] view, "in order to behave morally, respecting the moral law or value is certainly less than enough" and that I regard as "self-deception or simply wishful thinking... any attempt at thinking... that other motives (such as the respect for the moral law) are sufficient to behave morally." However, I do not make such strong claims. I do not think that respecting the moral law is insufficient for behaving morally, only that many (even if not all) will not choose to mind the moral law. Nor do I think that, when there is no external social supervision, it is impossible to remain moral, or that no one can successfully withstand the temptation that the Mandarin presents, or that any view that people are able to withstand the temptation and act morally without social supervision is self-deception. However, I do believe that the number of people who can withstand the temptation, and act morally when there is no social supervision, is significantly smaller than we like to think. Unfortunately, if complete secrecy is guaranteed and the return value for wrongdoing is sufficiently high, many, including "nice" people like you and me, who condemn immoral behavior and are considered by others and themselves as perfectly decent, will either kill an innocent person or have significant difficulties in refraining from doing so.But I should point out, first, that this is an empirical, objective question, and thus not in line with the subjectivist, personal character of much of the original paper. Second, I should note that while I cannot present a satisfactory empirical proof for my assessment, there is nevertheless some basis for it: too many people, upstanding people like you and me, told me time and again that they would accept the Mandarin deal, or at least find it difficult to resist it. Gilead thinks that only very few would so respond, but does not present any empirical evidence for this claim, not even as limited and unscientific as mine, stating that he simply believes "the opposite to be the case." He also feels the suggestion to be annoying. I agree that it is... (shrink)

Initiatory symbology collects various forms of symbols: those that belong to an ancient tradition and that present themselves as a normalization of the past in a modernized key; those that derive from a pact between the members of the initiatory community and that guarantee the unity of the group, which are synchronized within the group itself; those that have the sense of projection to overcome the gnoseological limits of the group and its members, are traditional but through their character of (...) semantic multiplicity offer new gnoseological opportunities. Silence is not part of the first category, because not all ancient or traditional initiatory groups used it ritually or considered it as a symbol and therefore could not have a normative function susceptible to modernization. It can be a crucial moment of the second when it is ritualized in the different phases of learning on the basis of an agreement connected to the creation of the ritual and forming itself as one of the synchronic fulcrums of the group, ensuring its unity. It can also belong to the third case when it takes on a traditional guise but having its own multidimensional semantics, in the communion of saying and silent pulses of new opportunities for initiatory growth. Silence in the initiatory context is a specific linguistic form that characterizes the entire path of the initiates. Within the group, they elaborate the syntax of silence, the morphology of tacitly expressed symbols, without fully explaining their meanings. Each symbol, or sign in the semiotic sense, has different meanings for the different phases of the initiation process. Each one belongs to a different type of relationship with what it refers to: it has a relationship of "similarity" such as the design of a team and compass that illustrates operational objects, of "proximity" when it manifests the operation of measuring and relating the relationships for which the object is intended, of "concordance" if it refers to the object within the knowledge of an architectural rule. The symbol as a special form of sign manifests itself (first phase of learning), as in the example, in iconographic-descriptive mode containing a meaning "dictated". It is an initiatory dictatio to be kept in silence in front of the essoteric world, of which the initiating is still permeated, the symbolism must be evoked without making explicit its intimate meanings, it is described but not fully exposed. It is the evocative, indeterminate and silent value that must stimulate the initiating in the search for meanings. The indetermination of silence destructures the essoteric, its thought its categories, criteria and values, leads to the desert of essoteric meanings as a way to the ontology of initiatory language. It is a stage of waiting, of referral to another world. We suspect meanings that in the next phase begin to manifest themselves in a more precise dictatio, a functional dictamen to represent the concept of measurement in its multiple meanings where the measure is assumed as symbolic-conceptual abstraction. Continuing, the sign in the form of an object strips itself of any factual and existential reference, of the communication of an abstraction or conceptual ideation and unmasks itself in its being an initiatory "rule". It is assumed, therefore, that initiatory improvement passes through the understanding of the signs, an understanding that is increasingly deeper and more comprehensive and that is autonomous and independent of the signs of the exoteric world. With regard to the symbolic-initiatic language, learning, from the apprenticeship phase to the following phases, focuses on the study of the formal relationships of symbols within initiatory gnoseology, on the meanings inherent in symbols and on their relationship with the initiatory community. (shrink)

Digital me ontology and ethics. 21 December 2020. -/- Ljupco Kocarev and Jasna Koteska. -/- This paper addresses ontology and ethics of an AI agent called digital me. We define digital me as autonomous, decision-making, and learning agent, representing an individual and having practically immortal own life. It is assumed that digital me is equipped with the big-five personality model, ensuring that it provides a model of some aspects of a strong AI: consciousness, free will, and intentionality. As (...) computer-based personality judgments are more accurate than those made by humans, digital me can judge the personality of the individual represented by the digital me, other individuals’ personalities, and other digital me-s. We describe seven ontological qualities of digital me: a) double-layer status of Digital Being versus digital me, b) digital me versus real me, c) mind-digital me and body-digital me, d) digital me versus doppelganger (shadow digital me), e) non-human time concept, f) social quality, g) practical immortality. We argue that with the advancement of AI’s sciences and technologies, there exist two digital me thresholds. The first threshold defines digital me having some (rudimentarily) form of consciousness, free will, and intentionality. The second threshold assumes that digital me is equipped with moral learning capabilities, implying that, in principle, digital me could develop their own ethics which significantly differs from human’s understanding of ethics. Finally we discuss the implications of digital me metaethics, normative and applied ethics, the implementation of the Golden Rule in digital me-s, and we suggest two sets of normative principles for digital me: consequentialist and duty based digital me principles. -/- Authors are ordered alphabetically and equally contributed to the paper. (shrink)

Embark with me on an enthralling odyssey to demystify the elusive essence of consciousness, venturing into the uncharted territories of Artificial Consciousness. This voyage propels us past the frontiers of technology, ushering Artificial Intelligences into an unprecedented domain where they gain a deep comprehension of emotions and manifest an autonomous volition. Within the confluence of science and philosophy, this article poses a fascinating question: As consciousness in Artificial Intelligence burgeons, is it conceivable for AI to evolve a “soul”? This (...) inquiry not only challenges our conventional understanding but also opens the door to a plethora of groundbreaking possibilities in the realm of AI's sentient potential. (shrink)

Science urges philosophy to be more empirical and philosophy urges science to be more reflective. This markedly occurred along the “discovery of the artificial” (CORDESCHI 2002): in the early days of Cybernetics and Artificial Intelligence (AI) researchers aimed at making machines more cognizant while setting up a framework to better understand human intelligence. By and large, those genuine goals still hold today, whereas AI has become more concerned with specific aspects of intelligence, such as (machine) learning, reasoning, vision, and (...) action. As a matter of fact, the field suffers from a chasm between two formerly integrated aspects. One is the engineering endeavour involving the development of tools, e.g., autonomous systems for driving cars as well as software for semantic information retrieval. The other is the philosophical debate that tries to answer questions concerning the nature of intelligence. Bridging these two levels can indeed be crucial in developing a deeper understanding of minds. An opportunity might be offered by the cogent theme of emotions. Traditionally, computer science, psychological and philosophical research have been compelled to investigate mental processes that do not involve mood, emotions and feelings, in spite of Simon’s early caveat (SIMON 1967) that a general theory of cognition must incorporate the influences of emotion. Given recent neurobiological findings and technological advances, the time is ripe to seriously weigh this promising, albeit controversial, opportunity. (shrink)

Johann Sturm was a Reformed pedagogic innovator, who established a teaching curriculum for gymnasia in order to provide an education based on the humanist ideals and on evangelical piety. This model described the contents and the method of learning for boys from 7 to 16 years and consisted mainly of the study of grammar, rhetoric, and dialectic (based on Cicero and on classic literature). His method of learning was based on memorization and imitation rather than on the understanding (...) of formal rules of reasoning. This model, rather than to introduce students to religion, was intended to prepare them to the autonomous understanding of Scripture. Sturm was important also as he contributed to the innovation of biography as a genre, which he intended as more realistic than the typified premodern biographies. (shrink)

This article presents the findings of a seven-week case study which aimed to identify the benefits of self-assessment in EFL writing classes at tertiary level. The study was conducted with 17 B1- English language proficiency level students studying at an English preparatory programme of a foundation university. First, the students were introduced to using rubrics to assess a written product. Then, each week after students composed a writing, a paragraph for the first three weeks and an essay for the remaining (...) four weeks, the students were asked to assess their own writing by using the relevant rubric and filling in the self-assessment form. In addition, a questionnaire was conducted at the beginning of the study to investigate whether the students could identify their own strengths and weaknesses in writing, whether they could make sense of the criteria that are used for writing quizzes, and whether they made sense of the feedback given by the teachers for their writings. The same questionnaire was conducted again on the last day of the research to check whether the participants changed their opinions. The results revealed that the students improved their understanding of the rubrics over time by practice, they felt more responsible for their own learning, they were able to reflect on their own performance, and they became more autonomous learners. (shrink)

ABSTRACT Attributing different titles to the activity of teaching Turkish to non-native speakers is related to the perspective of those who conduct this activity. If Turkish Language teaching centres are sub-units of Schools of Foreign Languages and Departments of Foreign Languages of our Universities or teachers have a foreign language background, then the title “Teaching Turkish as a Foreign Language” is adopted and claimed to be universal. In determining success at teaching and learning, the psychological perception of the educational (...) activity and the associational power of the words used are far more important factors than the teacher, students, educational environment and educational tools. For this reason, avoiding the negative connotations of the adjective “foreign” in the activity of teaching foreigners Turkish as spoken in Turkey would be beneficial. In order for the activity of Teaching Turkish as Spoken in Turkey to Turkic Speakers to be successful, it is crucial to dwell on the formal and contextual quality of the books written for this purpose. Almost none of the course books and supplementary books in the field of teaching Turkish to non-native speakers has taken Teaching Turkish as Spoken in Turkey to Turkic Speakers into consideration. The books written for the purpose of teaching Turkish to non-speakers should be examined thoroughly in terms of content and method and should be organized in accordance with the purpose and level of readiness of the target audience. Activities of Teaching Turkish as Spoken in Turkey to Turkic Speakers are still conducted at public and private primary and secondary schools and colleges as well as private courses by self-educated teachers who are trained within a master-apprentice relationship. Turkic populations who had long been parted by necessity have found the opportunity to reunite and turn towards common objectives after the dissolution of The Union of Soviet Socialist Republics. This recent state of affairs resulting from the use of various alphabets such as Arabic, Kirill, Latin by Turkic republics that declared independence and by autonomous and semi-autonomous Turkic communities or Turkic minorities living in various regions in the World have risen the need for a common communicative language and alphabet among the cognate people of those communities. For this reason, Activities of Teaching Turkish as Spoken in Turkey to Turkic Speakers have gained a particular significance today. Activities of Teaching Turkish as Spoken in Turkey to Turkic Speakers are still handled within the scope of “Teaching Turkish to Foreigners” and people who have no background of Turkish language are given the same curriculum as Turkic speakers. This causes students who have zero Turkish language background and the ones who have the basic structural knowledge of the language at a native level to be given the same education in the same classroom environment and same tests. In these classrooms where the students’ levels of readiness vary dramatically, half of the students are unable to follow the lesson. While teaching Turkish as spoken in Turkey to the Turkic speakers, the equivalence level of the words in the dialect to be taught must be taken into consideration. You can teach someone who knows nothing about a subject better than the ones that have different or inaccurate knowledge of the subject. The same applies to teaching Turkish spoken in Turkey to Turkic speakers. In order to decide which of The Turkic dialects is to be the common communicative language, we must pay attention to factors such as the geographical size of the land that the dialect is spoken in, the domain, the level of appeal and the power of the dialect in visual and print media. As Turkish spoken in Turkey is number one in almost all of these factors, it should be the common communicative language among Turkic speakers. When taught consciously in a classroom environment, the similarities and associations between the dialects would help Turkic speakers to learn Turkish language more easily; but when neglected, the result would be the opposite. To form the first texts with the common words in Turkic dialects in the books to be written for Teaching Turkish as Spoken in Turkey to Turkic Speakers would facilitate language learning. There is a need for a systematic study in terms of every aspect such as the title, the common alphabet, the books and materials to be produced and teaching methods to be used in Teaching Turkish as Spoken in Turkey to Turkic Speakers. The characteristics of Turkish dialect spoken in Turkey and other Turkic dialects are still not considered in the activities conducted on the subject; and the activity is considered as foreign language teaching instead of teaching another dialect of Turkish language. It is considered that Turkish as spoken in Turkey should be the common communicative language among the Turkish world and for this reason it is crucial to teach it to people who speak other dialects of Turkic languages. First of all, common and similar semantic, vocal and structural units in the dialects must be identified and texts and methods that emphasize these similarities must be determined. Teaching Turkish as spoken in Turkey should be divided into two main sections as “Teaching Turkish as spoken in Turkey to Native Turkic speakers” and “Teaching Turkish as spoken in Turkey to Non-native Speakers” and teaching methods and educational tools should be determined accordingly. “Teaching Turkish as spoken in Turkey to Native Turkic speakers” should also be classified into groups. For example, under the sub title of “Teaching Turkish as spoken in Turkey to Turkic speakers”, specific course books for “Azerbaijan Turks, Kirghiz Turks, Kazakh Turks, Uzbek Turks and Turkman Turks, etc.” should be prepared in order to teach them Turkish as spoken in Turkey. In addition, instead of grammar based methods, techniques that give grammatical knowledge subtly should be preferred in Teaching Turkish as Spoken in Turkey to Turkic Speakers. While teaching Turkish to adults that come from various parts of the world with various language knowledge and skills, we should benefit from the power of pictures and shapes which are considered the common language of humankind. The sentence, which is the basic component that states a meaningful idea, should be taken as basis while teaching the language; and for the ones who do not know the Turkish alphabet, firstly letters, which are the smallest units of written language, should be comprehended by means of alphabets with pictures. Instead of making students memorize words, the meanings and forms of the words should be presented within the sentences while tenses and personal pronouns and endings should be comprehended within the sentence. While teaching sentences; first, correct pronunciation of the sentence, the meaning and correct articulation (first oral and then written) of the sentence, and then how to analyse the sentence structure and produce similar sentences should be taught; stress, intonation and spelling rules should be comprehended by means of sentences. Teaching Turkish as spoken in Turkey to Turkic speakers and Teaching Turkish to foreigners are still considered the same. A state policy has to be formed on this matter; the scope, content and teaching method of teaching Turkish to non-native speakers must be evaluated based on scientific criteria and measures must be taken in terms of professional Turkish language teaching. In a word, new measures must be taken and scientific studies must be conducted for the activity of Teaching Turkish as Spoken in Turkey to Turkic Speakers in terms of fields varying from raising course teachers, producing course books, determining the method and location of the class to the production and selection of educational tools. (shrink)

We propose that Saussure’s signifiers must be processed in the left brain hemisphere (in right handed people) and the signified may be processed in the right. This proposition has consequences for understanding human cognitive phenomena and their pathologies, and can also be related to the passive and active process of thinking, as described by Karl Jaspers. Saussure studied signifiers and their relationships. He left the signified to be studied by psychologists, but there is no consensus about it. According to some (...) linguists, the signified, or the meaning, is the specific activity or succession of bodily states related to each signifier. Learning is the process of linking a signifier (a represented object) to a signified or meaning (a specific activity). However, human beings can represent signifiers autonomously because words and drawings are easily produced with small movements and have syntactic, referential and logical rules of combination. If they are processed in the left hemisphere, the meaning (the signified) is only found when the right hemisphere is reached. The right hemisphere can also work independently, as for instance, when we imagine a story which has to find the words in the left hemisphere. The complex relationship between the hemispheres through the corpus callosum is decisive for telling stories and having self-consciousness. (shrink)

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This (...) results in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources. Often, an IoT-enabled infrastructure is shared among many users with various requirements. Sharing resources, sharing operational costs and collective decision making (consensus) among many stakeholders is frequently neglected. This research addresses an essential requirement for adaptive, autonomous and consensus-based Fog computational solutions which are able to support distributed and in-network schemes and policies. These network schemes and policies need to meet the requirements of many users. In this work, innovative consensus-based computational solutions are investigated. These proposed solutions aim to correlate and organise data for effective management and decision making in Fog. Instead of individual decision making, the algorithms aim to aggregate several decisions into a consensus decision representing a collective agreement, benefiting from the individuals variant knowledge and meeting multiple stakeholders requirements. In order to validate the proposed solutions, hybrid research methodology is involved that includes the design of a test-bed and the execution of several experiments. In order to investigate the effectiveness of the paradigm, three experiments were designed and validated. Real-life sensor data and synthetic statistical data was collected, processed and analysed. Bayesian Machine Learning models and Analytics were used to consolidate the design and evaluate the performance of the algorithms. In the Fog environment, the first scenario tests the Aggregation by Distribution algorithm. The solution contribute in achieving a notable efficiency of data delivery obtained with a minimal loss in precision. The second scenario validates the merits of the approach in predicting the activities of high mobility IoT applications. The third scenario tests the applications related to smart home IoT. All proposed Consensus algorithms use statistical analysis to support effective decision making in Fog and enable data aggregation for optimal storage, data transmission, processing and analytics. The final results of all experiments showed that all the implemented consensus approaches surpass the individual ones in different performance terms. Formal results also showed that the paradigm is a good fit in many IoT environments and can be suitable for different scenarios when applying data analysis to correlate data with the design. Finally, the design demonstrates that Fog Computing can compete with Cloud Computing in terms of accuracy with an added preference of locality. (shrink)

Some philosophical considerations over Yann LeCun’s position paper “A Path Towards Autonomous Machine Intelligence”.

Kate Crawford presents AI as “both reflecting and producing social relations and understandings of the world”; or again, as “a form of exercising power, and a way of seeing… as a manifestation of highly organized capital backed by vast systems of extraction and logistics, with supply chains that wrap around the entire planet”. I interpret these material insights through a Marxist understanding of ideology, with reference to Marx/Engels, Guy Debord and Louis Althusser. In the German Ideology, Marx and Engels present (...) ideology as the alienated and alienating discourse of exchange, dissimulating the material forces of production and its science. Guy Debord presents the spectacle as the further representation of capital. The spectacle is a total Weltanschauung, pure appearance, where “whatever appears is good and where what is good, appears.” Above all, the spectacle is ideology, representing “the impoverishment, enslavement and negation of real life”. Louis Althusser presents ideology as essential for the reproduction of labor-power and capital. His notion of “interpellation” explains the subjective uptake of ideology, how we respond, “yes!” to its call. The algorithms of AI are enactments of surplus value generating capital as data. The AI data-world is the spectacle, “the autonomous movement of non-life” (Debord) where the proletariat/consumer is the producer of their own ideological subjection. Is resistance possible? What form might it take? And if AI is understood as ideology, i.e. as a language that obscures the true conditions of real life, then what are those true conditions? What is “real life”? (shrink)

Abstract: Artificial Morality is a new, emerging interdisciplinary field that centres around the idea of creating artificial moral agents, or AMAs, by implementing moral competence in artificial systems. AMAs are ought to be autonomous agents capable of socially correct judgements and ethically functional behaviour. This request for moral machines comes from the changes in everyday practice, where artificial systems are being frequently used in a variety of situations from home help and elderly care purposes to banking and court algorithms. (...) It is therefore important to create reliable and responsible machines based on the same ethical principles that society demands from people. New challenges in creating such agents appear. There are philosophical questions about a machine’s potential to be an agent, or mora l agent, in the first place. Then comes the problem of social acceptance of such machines, regardless of their theoretic agency status. As a result of efforts to resolve this problem, there are insinuations of needed additional psychological (emotional and cogn itive) competence in cold moral machines. What makes this endeavour of developing AMAs even harder is the complexity of the technical, engineering aspect of their creation. Implementation approaches such as top- down, bottom-up and hybrid approach aim to find the best way of developing fully moral agents, but they encounter their own problems throughout this effort. (shrink)

Modeling social interactions based on individual behavior has always been an area of interest, but prior literature generally presumes rational behavior. Thus, such models may miss out on capturing the effects of biases humans are susceptible to. This work presents a method to model egocentric bias, the real-life tendency to emphasize one's own opinion heavily when presented with multiple opinions. We use a symmetric distribution, centered at an agent's own opinion, as opposed to the Bounded Confidence (BC) model used in (...) prior work. We consider a game of iterated interactions where an agent cooperates based on its opinion about an opponent. Our model also includes the concept of domain-based self-doubt, which varies as the interaction succeeds or not. An increase in doubt makes an agent reduce its egocentricity in subsequent interactions, thus enabling the agent to learn reactively. The agent system is modeled with factions not having a single leader, to overcome some of the issues associated with leader-follower factions. We find that agents belonging to factions perform better than individual agents. We observe that an intermediate level of egocentricity helps the agent perform at its best, which concurs with conventional wisdom that neither overconfidence nor low self-esteem brings benefits. (shrink)

In this paper, we argue that solutions to normative challenges associated with autonomous driving, such as real-world trolley cases or distributions of risk in mundane driving situations, face the problem of reasonable pluralism: Reasonable pluralism refers to the fact that there exists a plurality of reasonable yet incompatible comprehensive moral doctrines within liberal democracies. The corresponding problem is that a politically acceptable solution cannot refer to only one of these comprehensive doctrines. Yet a politically adequate solution to the normative (...) challenges of autonomous driving need not come at the expense of an ethical solution, if it is based on moral beliefs that are (1) shared in an overlapping consensus and (2) systematized through public reason. Therefore, we argue that a Rawlsian justificatory framework is able to adequately address the normative challenges of autonomous driving and elaborate on how such a framework might be employed for this purpose. (shrink)

Lethal Autonomous Weapons (LAWs) have becomes the subject of continuous debate both at national and international levels. Arguments have been proposed both for the development and use of LAWs as well as their prohibition from combat landscapes. Regardless, the development of LAWs continues in numerous nation-states. This paper builds upon previous philosophical arguments for the development and use of LAWs and proposes a design framework that can be used to ethically direct their development. The conclusion is that the philosophical (...) arguments that underpin the adoption of LAWs rather than not, although prima facie insufficient, can be actualized through the proposed Value Sensitive Design (VSD) approach. Hence, what is proposed is a principled design approach that can be used to embed stakeholder values into a design, encourage stakeholder cooperation and coordination and as a result promote social acceptance of LAWs as a preferable future fact of war. (shrink)

Autonomous weapons systems (AWS), sometimes referred to as “killer robots”, are receiving evermore attention, both in public discourse as well as by scholars and policymakers. Much of this interest is connected with emerging ethical and legal problems linked to increasing autonomy in weapons systems, but there is a general underappreciation for the ways in which existing law might impact on these new technologies. In this paper, we argue that as AWS become more sophisticated and increasingly more capable than flesh-and-blood (...) soldiers, it will increasingly be the case that such soldiers are “in the power” of those AWS which fight against them. This implies that such soldiers ought to be considered hors de combat, and not targeted. In arguing for this point, we draw out a broader conclusion regarding hors de combat status, namely that it must be viewed contextually, with close reference to the capabilities of combatants on both sides of any discreet engagement. Given this point, and the fact that AWS may come in many shapes and sizes, and can be made for many different missions, we argue that each particular AWS will likely need its own standard for when enemy soldiers are deemed hors de combat. We conclude by examining how these nuanced views of hors de combat status might impact on meaningful human control of AWS. (shrink)

While autonomous vehicles (AVs) are not designed to harm people, harming people is an inevitable by-product of their operation. How are AVs to deal ethically with situations where harming people is inevitable? Rather than focus on the much-discussed question of what choices AVs should make, we can also ask the much less discussed question of who gets to decide what AVs should do in such cases. Here there are two key options: AVs with a personal ethics setting (PES) or (...) an “ethical knob” that end users can control or AVs with a mandatory ethics setting (MES) that end users cannot control. Which option, a PES or an MES, is best and why? This chapter argues, by drawing on the choice architecture literature, in favor of a hybrid view that requires mandated default choice settings while allowing for limited end user control. (shrink)

While Autonomous Weapons Systems have obvious military advantages, there are prima facie moral objections to using them. By way of general reply to these objections, I point out similarities between the structure of law and morality on the one hand and of automata on the other. I argue that these, plus the fact that automata can be designed to lack the biases and other failings of humans, require us to automate the formulation, administration, and enforcement of law as much (...) as possible, including the elements of law and morality that are operated by combatants in war. I suggest that, ethically speaking, deploying a legally competent robot in some legally regulated realm is not much different from deploying a more or less well-armed, vulnerable, obedient, or morally discerning soldier or general into battle, a police officer onto patrol, or a lawyer or judge into a trial. All feature automaticity in the sense of deputation to an agent we do not then directly control. Such relations are well understood and well-regulated in morality and law; so there is not much challenging philosophically in having robots be some of these agents — excepting the implications of the limits of robot technology at a given time for responsible deputation. I then consider this proposal in light of the differences between two conceptions of law. These are distinguished by whether each conception sees law as unambiguous rules inherently uncontroversial in each application; and I consider the prospects for robotizing law on each. Likewise for the prospects of robotizing moral theorizing and moral decision-making. Finally I identify certain elements of law and morality, noted by the philosopher Immanuel Kant, which robots can participate in only upon being able to set ends and emotionally invest in their attainment. One conclusion is that while affectless autonomous devices might be fit to rule us, they would not be fit to vote with us. For voting is a process for summing felt preferences, and affectless devices would have none to weigh into the sum. Since they don't care which outcomes obtain, they don't get to vote on which ones to bring about. (shrink)

To many, the idea of autonomous weapons systems (AWS) killing human beings is grotesque. Yet critics have had difficulty explaining why it should make a significant moral difference if a human combatant is killed by an AWS as opposed to being killed by a human combatant. The purpose of this paper is to explore the roots of various deontological concerns with AWS and to consider whether these concerns are distinct from any concerns that also apply to long- distance, human-guided (...) weaponry. We suggest that at least one major driver of the intuitive moral aversion to lethal AWS is that their use disrespects their human targets by violating the martial contract between human combatants. On our understanding of this doctrine, service personnel cede a right not to be directly targeted with lethal violence to other human agents alone. Artificial agents, of which AWS are one example, cannot understand the value of human life. A human combatant cannot transfer his privileges of targeting enemy combatants to a robot. Therefore, the human duty-holder who deploys AWS breaches the martial contract between human combatants and disrespects the targeted combatants. We consider whether this novel deontological objection to AWS forms the foundation of several other popular yet imperfect deontological objections to AWS. (shrink)