Results for 'Sciences of the Artificial'

998 found
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  1. The Discovery of the Artificial: Some Protocybernetic Developments 1930-1940.Roberto Cordeschi - 1991 - Artificial Intelligence and Society 5 (3):218-238.
    In this paper I start from a definition of “culture of the artificial” which might be stated by referring to the background of philosophical, methodological, pragmatical assumptions which characterizes the development of the information processing analysis of mental processes and of some trends in contemporary cognitive science: in a word, the development of AI as a candidate science of mind. The aim of this paper is to show how (with which plausibility and limitations) the discovery of the mentioned background (...)
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  2. The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics.Roberto Cordeschi - 2002 - Kluwer Academic Publishers.
    Since the second half of the XXth century, researchers in cybernetics and AI, neural nets and connectionism, Artificial Life and new robotics have endeavoured to build different machines that could simulate functions of living organisms, such as adaptation and development, problem solving and learning. In this book these research programs are discussed, particularly as regard the epistemological issues of the behaviour modelling. One of the main novelty of this book consists of the fact that certain projects involving the building (...)
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  3.  65
    Universal Science of Mind: Can Complexity-Based Artificial Intelligence Save the World in Crisis?Andrei P. Kirilyuk - manuscript
    While practical efforts in the field of artificial intelligence grow exponentially, the truly scientific and mathematically exact understanding of the underlying phenomena of intelligence and consciousness is still missing in the conventional science framework. The inevitably dominating empirical, trial-and-error approach has vanishing efficiency for those extremely complicated phenomena, ending up in fundamentally limited imitations of intelligent behaviour. We provide the first-principle analysis of unreduced many-body interaction process in the brain revealing its qualitatively new features, which give rise to rigorously (...)
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  4. The Artificial Cell, the Semipermeable Membrane, and the Life That Never Was, 1864–1901.Daniel Liu - 2019 - Historical Studies in the Natural Sciences 49 (5):504-555.
    Since the early nineteenth century a membrane or wall has been central to the cell’s identity as the elementary unit of life. Yet the literally and metaphorically marginal status of the cell membrane made it the site of clashes over the definition of life and the proper way to study it. In this article I show how the modern cell membrane was conceived of by analogy to the first “artificial cell,” invented in 1864 by the chemist Moritz Traube (1826–1894), (...)
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  5. Phenomenal Experiences, First-Person Methods, and the Artificiality of Experimental Data.Uljana Feest - 2014 - Philosophy of Science 81 (5):927-939.
    This paper argues that whereas philosophical discussions of first-person methods often turn on the veridicality of first-person reports, more attention should be paid to the experimental circumstances under which the reports are generated, and to the purposes of designing such experiments. After pointing to the ‘constructedness’ of first-person reports in the science of perception, I raise questions about the criteria by which to judge whether the reports illuminate something about the nature of perception. I illustrate this point with a historical (...)
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  6. The Formal Sciences Discover the Philosophers' Stone.James Franklin - 1994 - Studies in History and Philosophy of Science Part A 25 (4):513-533.
    The formal sciences - mathematical as opposed to natural sciences, such as operations research, statistics, theoretical computer science, systems engineering - appear to have achieved mathematically provable knowledge directly about the real world. It is argued that this appearance is correct.
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  7.  62
    The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David S. Watson - 2019 - Minds and Machines 29 (3):417-440.
    Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised (...)
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  8. The Legacy Conference: Report on The Science of Consciousness Conference, La Jolla, California, 2017.Gregory Nixon - 2017 - Journal of Consciousness Studies 24 (9-10):253-277.
    The ‘Toward a Science of Consciousness’ conference – which has now become ‘The Science of Consciousness’ conference – recently (June 5-10, 2017) took place instead at the receptive venue of the Hyatt Regency in La Jolla, California. It was well-planned and organized, which is extraordinary considering that it had to be organized all over again within a month or two when the original Shanghai location was cancelled. Things ran smoothly at La Jolla and it was well attended for an odd-year, (...)
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  9. The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs.Nuno David, Jaime Sichman & Helder Coleho - 2005 - Journal of Artificial Societies and Social Simulation 8 (4).
    The classical theory of computation does not represent an adequate model of reality for simulation in the social sciences. The aim of this paper is to construct a methodological perspective that is able to conciliate the formal and empirical logic of program verification in computer science, with the interpretative and multiparadigmatic logic of the social sciences. We attempt to evaluate whether social simulation implies an additional perspective about the way one can understand the concepts of program and computation. (...)
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  10. The Defecating Duck, or, the Ambiguous Origins of Artificial Life.Jessica Riskin - 2003 - Critical Inquiry 29 (4):599-633.
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  11. A Fool’s Paradise? The Subtle Assault of the Hard Sciences of Consciousness Upon Experiential Education.Gregory Nixon - 1997 - Educational Change (1997):11-28.
    Advances in artificial intelligence and neuroscience claim to have begun to undermine the assumptions of the arts and educational theory community by explaining consciousness through either a reduction to mathematical functionalism or an excrescence of brain biology. I suggest that the worldview behind such reductionism is opposed to the worldview assumed by many educational practitioners and theorists. I then go on to outline a few common positions taken in the burgeoning field of consciousness studies that suggest that—though many attributes (...)
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  12. Artificial Intelligence and the ‘Good Society’: The US, EU, and UK Approach.Corinne Cath, Sandra Wachter, Brent Mittelstadt, Mariarosaria Taddeo & Luciano Floridi - 2018 - Science and Engineering Ethics 24 (2):505-528.
    In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a (...)
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  13. The Cognitive Sciences: A Comment on 6 Reviews of The MIT Encyclopedia of the Cognitive Sciences.Robert A. Wilson - 2001 - Artificial Intelligence 130 (2):223-229.
    As the pluralization in the title of MITECS suggests, and as many reviewers have noted, the stance that we adopted as general editors for this project was ecumenical. We were particularly concerned to generate a volume whose range of topics and perspectives indicated that “cognitive science” was different things to different groups of researchers, and that many even fundamental questions remain open after at least four decades of various interdisciplinary ventures. Implicit in this view is a wariness of any putative (...)
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  14.  89
    Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.Thomas C. King, Nikita Aggarwal, Mariarosaria Taddeo & Luciano Floridi - 2020 - Science and Engineering Ethics 26 (1):89-120.
    Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and (...)
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  15.  97
    The Eroding Artificial/Natural Distinction: Some Consequences for Ecology and Economics.C. Tyler DesRoches, Stephen Andrew Inkpen & Thomas L. Green - 2019 - In Michiru Nagatsu & Attilia Ruzzene (eds.), Contemporary Philosophy and Social Science: An Interdisciplinary Dialogue. New York: pp. 39-57.
    Since Thomas Kuhn’s The Structure of Scientific Revolutions (1962), historians and philosophers of science have paid increasing attention to the implications of disciplinarity. In this chapter we consider restrictions posed to interdisciplinary exchange between ecology and economics that result from a particular kind of commitment to the ideal of disciplinary purity, that is, that each discipline is defined by an appropriate, unique set of objects, methods, theories, and aims. We argue that, when it comes to the objects of study in (...)
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  16. Artificial Neural Network for Forecasting Car Mileage Per Gallon in the City.Mohsen Afana, Jomana Ahmed, Bayan Harb, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 124:51-59.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with (...)
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  17. Artificial Intelligence: Opportunities and Implications for the Future of Decision Making.U. K. Government & Office for Science - 2016
    Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these (...)
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  18. Gestaticide: Killing the Subject of the Artificial Womb.Daniel Rodger, Nicholas Colgrove & Bruce Philip Blackshaw - 2020 - Journal of Medical Ethics (12).
    The rapid development of artificial womb technologies means that we must consider if and when it is permissible to kill the human subject of ectogestation—recently termed a ‘gestateling’ by Elizabeth Chloe Romanis—prior to ‘birth’. We describe the act of deliberately killing the gestateling as gestaticide, and argue that there are good reasons to maintain that gestaticide is morally equivalent to infanticide, which we consider to be morally impermissible. First, we argue that gestaticide is harder to justify than abortion, primarily (...)
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  19.  52
    Hyperhistory, the Emergence of the MASs, and the Design of Infraethics.Luciano Floridi - 2016 - In Mireille Hildebrandt & Bibi van den Berg (eds.), Information, Freedom and Property.
    The Copernican revolution displaced us from the center of the universe. The Darwinian revolution displaced us from the center of the biological kingdom. And the Freudian revolution displaced us from the center of our mental lives. Today, Computer Science and digital ICTs are causing a fourth revolution, radically changing once again our conception of who we are and our “exceptional centrality.” We are not at the center of the infosphere. We are not standalone entities, but rather interconnected informational agents, sharing (...)
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  20. Minding the Future: Artificial Intelligence, Philosophical Visions and Science Fiction.Barry Francis Dainton, Will Slocombe & Attila Tanyi (eds.) - 2021 - Springer.
    Bringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann Leckie, (...)
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  21. ELEMENTS OF COGNITIVE SCIENCES AND ARTIFICIAL INTELLIGENCE IN GAYATRI MANTRA.Varanasi Ramabrahmam - 2006 - In Proceedings of National seminar on Bharatiya Heritage in Engineering and Technology, May 11-13, 2006, at Department of Metallurgy and Inorganic Chemistry, I.I.Sc., Bangalore, India. pp. 249-254.
    The syllables and series of sounds composing Gayatri Mantra, and the sense and meaning attached to them are analyzed using Upanishadic Wisdom, Advaitha Philosophy and Sabdabrahma Siddhanta. The physical structure of mind as revealed by this analysis is presented. An insight of various phases of mind, their rise and set, their significance and implications to cognitive sciences and natural language comprehension branch of artificial intelligence are discussed. The possible applications of such an insight in the fields of cognitive (...)
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  22. Future Progress in Artificial Intelligence: A Survey of Expert Opinion.Vincent C. Müller & Nick Bostrom - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 553-571.
    There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...)
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  23. Proper Embodiment: The Role of the Body in Affect and Cognition.Mog Stapleton - 2012 - Dissertation, University of Edinburgh
    Embodied cognitive science has argued that cognition is embodied principally in virtue of grossmorphological and sensorimotor features. This thesis argues that cognition is also internally embodied in affective and fine-grained physiological features whose transformative roles remain mostly unnoticed in contemporary cognitive science. I call this ‘proper embodiment’. I approach this larger subject by examining various emotion theories in philosophy and psychology. These tend to emphasise one of the many gross components of emotional processes, such as ‘feeling’ or ‘judgement’ to the (...)
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  24. THE HARDWARE AND SOFTWARE OF HUMAN COGNITION AND COMMUNNICATION: A COGNITIVE SCIENCE PERSPECTIVE OF THE UPANISHADS AND INDIAN PHILOSOPHICAL SYSTEMS.R. B. Varanasi Varanasi Varanasi Ramabrahmam, Ramabrahmam Varanasi, V. Ramabrahmam - 2016 - Science and Scientist Conference.
    The comprehensive nature of information and insight available in the Upanishads, the Indian philosophical systems like the Advaita Philosophy, Sabdabrahma Siddhanta, Sphota Vaada and the Shaddarsanas, in relation to the idea of human consciousness, mind and its functions, cognitive science and scheme of human cognition and communication are presented. All this is highlighted with vivid classification of conscious-, cognitive-, functional- states of mind; by differentiating cognition as a combination of cognitive agent, cognizing element, cognized element; formation; form and structure of (...)
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  25. AISC 17 Talk: The Explanatory Problems of Deep Learning in Artificial Intelligence and Computational Cognitive Science: Two Possible Research Agendas.Antonio Lieto - 2018 - In Proceedings of AISC 2017.
    Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that the (...)
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  26. Theory of Everything, Ultimate Reality and the End of Humanity: Extended Sustainability by the Universal Science of Complexity.Andrei P. Kirilyuk - 2017 - Beau Bassin: LAP LAMBERT Academic Publishing.
    Instead of postulated fixed structures and abstract principles of usual positivistic science, the unreduced diversity of living world reality is consistently derived as dynamically emerging results of unreduced interaction process development, starting from its simplest configuration of two coupled homogeneous protofields. The dynamically multivalued, or complex and intrinsically chaotic, nature of these real interaction results extends dramatically the artificially reduced, dynamically single-valued projection of standard theory and solves its stagnating old and accumulating new problems, “mysteries” and “paradoxes” within the unified (...)
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  27. The Effective and Ethical Development of Artificial Intelligence: An Opportunity to Improve Our Wellbeing.James Maclaurin, Toby Walsh, Neil Levy, Genevieve Bell, Fiona Wood, Anthony Elliott & Iven Mareels - 2019 - Melbourne VIC, Australia: Australian Council of Learned Academies.
    This project has been supported by the Australian Government through the Australian Research Council (project number CS170100008); the Department of Industry, Innovation and Science; and the Department of Prime Minister and Cabinet. ACOLA collaborates with the Australian Academy of Health and Medical Sciences and the New Zealand Royal Society Te Apārangi to deliver the interdisciplinary Horizon Scanning reports to government. The aims of the project which produced this report are: 1. Examine the transformative role that artificial intelligence may (...)
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  28. The Tannhäuser Gate. Architecture in Science Fiction Films of the Second Half of the 20th and the Beginning of the 21st Century as a Component of Utopian and Dystopian Projections of the Future.Cezary Wąs - 2018 - Quart. Kwartalnik Instytutu Historii Sztuki Uniwersytetu Wrocławskiego 49 (3):83-109.
    The Tannhäuser Gate. Architecture in science fiction films of the second half of the 20th and the beginning of the 21st century as a component of utopian and dystopian projections of the future. -/- The films of science fiction genre from the second half of the 20th and early 21st century contained many visions of the future, which were at the same time a reflection on the achievements and deficiencies of modern times. In 1960s, cinematographic works were dominated by optimism (...)
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  29. Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future.Francesco Longo, Antonio Padovano & Steven Umbrello - 2020 - Applied Sciences 10 (12):4182.
    Manufacturing and industry practices are undergoing an unprecedented revolution as a consequence of the convergence of emerging technologies such as artificial intelligence, robotics, cloud computing, virtual and augmented reality, among others. This fourth industrial revolution is similarly changing the practices and capabilities of operators in their industrial environments. This paper introduces and explores the notion of the Operator 4.0 as well as how this novel way of conceptualizing the human operator necessarily implicates human values in the technologies that constitute (...)
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  30. The Mind as the Software of the Brain.Ned Block - 1995 - In Daniel N. Osherson, Lila Gleitman, Stephen M. Kosslyn, S. Smith & Saadya Sternberg (eds.), An Invitation to Cognitive Science, Second Edition, Volume 3. Cambridge MA: MIT Press. pp. 377-425.
    In this section, we will start with an influential attempt to define `intelligence', and then we will move to a consideration of how human intelligence is to be investigated on the machine model. The last part of the section will discuss the relation between the mental and the biological.
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  31. Philosophy and Cognitive Sciences: Proceedings of the 16th International Wittgenstein Symposium (Kirchberg Am Wechsel, Austria 1993).Roberto Casati & Barry Smith (eds.) - 1994 - Vienna: Wien: Hölder-Pichler-Tempsky.
    Online collection of papers by Devitt, Dretske, Guarino, Hochberg, Jackson, Petitot, Searle, Tye, Varzi and other leading thinkers on philosophy and the foundations of cognitive Science. Topics dealt with include: Wittgenstein and Cognitive Science, Content and Object, Logic and Foundations, Language and Linguistics, and Ontology and Mereology.
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  32. Philosophy and Theory of Artificial Intelligence 2017.Vincent C. Müller (ed.) - 2017 - Berlin: Springer.
    This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI (...)
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  33. Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century.Rene Von Schomberg, Jean-Claude Burgelman, Corina Pascu, Kataezyna Szkuta, Athanasios Karalopoulos, Konstantinos Repanas & Michel Schouppe - 2019 - Frontiers in Big Data 2:43.
    Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (for which various actors (...)
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  34. Why We Should Create Artificial Offspring: Meaning and the Collective Afterlife.John Danaher - 2018 - Science and Engineering Ethics 24 (4):1097-1118.
    This article argues that the creation of artificial offspring could make our lives more meaningful. By ‘artificial offspring’ I mean beings that we construct, with a mix of human and non-human-like qualities. Robotic artificial intelligences are paradigmatic examples of the form. There are two reasons for thinking that the creation of such beings could make our lives more meaningful and valuable. The first is that the existence of a collective afterlife—i.e. a set of human-like lives that continue (...)
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  35. Fundamental Issues of Artificial Intelligence.Vincent C. Müller (ed.) - 2016 - Springer.
    [Müller, Vincent C. (ed.), (2016), Fundamental issues of artificial intelligence (Synthese Library, 377; Berlin: Springer). 570 pp.] -- This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The (...)
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  36. The Inner Mind and the Outer World: Guest Editor's Introduction to a Special Issue on Cognitive Science and Artificial Intelligence.William J. Rapaport - 1991 - Noûs 25 (4):405-410.
    It is well known that people from other disciplines have made significant contributions to philosophy and have influenced philosophers. It is also true (though perhaps not often realized, since philosophers are not on the receiving end, so to speak) that philosophers have made significant contributions to other disciplines and have influenced researchers in these other disciplines, sometimes more so than they have influenced philosophy itself. But what is perhaps not as well known as it ought to be is that researchers (...)
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  37. The Pharmacological Significance of Mechanical Intelligence and Artificial Stupidity.Adrian Mróz - 2019 - Kultura I Historia 36 (2):17-40.
    By drawing on the philosophy of Bernard Stiegler, the phenomena of mechanical (a.k.a. artificial, digital, or electronic) intelligence is explored in terms of its real significance as an ever-repeating threat of the reemergence of stupidity (as cowardice), which can be transformed into knowledge (pharmacological analysis of poisons and remedies) by practices of care, through the outlook of what researchers describe equivocally as “artificial stupidity”, which has been identified as a new direction in the future of computer science and (...)
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  38. Philosophy of Artificial Intelligence: A Course Outline.William J. Rapaport - 1986 - Teaching Philosophy 9 (2):103-120.
    In the Fall of 1983, I offered a junior/senior-level course in Philosophy of Artificial Intelligence, in the Department of Philosophy at SUNY Fredonia, after returning there from a year’s leave to study and do research in computer science and artificial intelligence (AI) at SUNY Buffalo. Of the 30 students enrolled, most were computerscience majors, about a third had no computer background, and only a handful had studied any philosophy. (I might note that enrollments have subsequently increased in the (...)
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  39. Review of The Mind’s I by Douglas Hofstadter and Daniel Dennett (1981) (Review Revised 2019.Michael Starks - 2019 - In Talking Monkeys -- Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet -- Articles and Reviews 2006-2019 Michael Starks 3rd Edition. Las Vegas, NV USA: Reality Press. pp. 223-229.
    A mixed bag dominated by H & D's reductionist nonsense. This is a follow-up to Hofstadter´s famous (or infamous as I would now say, considering its unrelenting nonsense) Godel, Escher, Bach (1980). Like its predecessor, it is concerned largely with the foundations of artificial intelligence, but it is composed mostly of stories, essays and extracts from a wide range of people, with a few essays by DH and DD and comments to all of the contributions by one or the (...)
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  40. Philosophy of Computer Science: An Introductory Course.William J. Rapaport - 2005 - Teaching Philosophy 28 (4):319-341.
    There are many branches of philosophy called “the philosophy of X,” where X = disciplines ranging from history to physics. The philosophy of artificial intelligence has a long history, and there are many courses and texts with that title. Surprisingly, the philosophy of computer science is not nearly as well-developed. This article proposes topics that might constitute the philosophy of computer science and describes a course covering those topics, along with suggested readings and assignments.
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  41. Review of The Minds I by Douglas Hofstadter and Daniel Dennet (1981).Michael Starks - 2017 - Philosophy, Human Nature and the Collapse of Civilization Michael Starks 3rd Ed. (2017).
    Variable quality essays dominated by reductionist nonsense. This is a followup to Hofstadter´s famous Godel, Escher, Bach (1980). Like its predecessor, it is concerned largely with the foundations of artificial intelligence, but it is composed mostly of stories, essays and extracts from a wide range of people, with a few essays by DH and DD and comments to all of the contributions by one or the other of them. For my views on the attempts of D and H to (...)
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  42. Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of (...)
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  43. A Modern Scientific Awareness of Upanishadic Wisdom: Implications to Physiological Psychology and Artificial Intelligence.Varanasi Ramabrahmam - 2004 - In In the Proceedings of World Congress on Vedic Sciences, 09-13 August 2004, Bangalore. pp. 562-568.
    Upanishads are traditionally commented upon as texts of theology and religion. But the contents of the Upanishads can also be viewed and commented from modern science point of view. Elements of modern science present in the Upanishads and Advaita Siddhanta will be listed. -/- The nature of maya will be discussed with modern scientific awareness. This awareness will be further used in understanding human mental processes and the ways to model them contributing to the natural language comprehension field of (...) intelligence. -/- The nature of the Dvaita and Advaita conscious states and their implications to human cognitive processes will be discussed. The use and significance of the ‘absence of mind’ conscious state will also be presented. -/- The use of above understanding in modeling human understanding process and its comparison to physiological psychology – the physics and chemistry of psychology - will be proposed. (shrink)
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  44. La réalité du champ axiologique : cybernétique et pensée de l'information chez Raymond Ruyer [The reality of the axiological field: Cybernetics and the thinking of information in Raymond Ruyer].Philippe Gagnon - 2018 - Louvain-la-Neuve: Chromatika.
    Description courte (Électre, 2019) : Une étude d'un des principaux axes de réflexion du philosophe des sciences et de la nature Raymond Ruyer (1902-1987). À la lumière des découvertes de l'embryogenèse et en s'appuyant par ailleurs sur la théorie de l'information, il proposa une interprétation des concepts unificateurs de la cybernétique mécaniste. -/- Short Descriptor (Electre 2019): A study of one of the main axes of reflection of the French philosopher of science and of nature Raymond Ruyer (1902-1987). Relying (...)
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  45. The Intelligent Use of Space.David Kirsh - 1995 - Artificial Intelligence 73 (1--2):31-68.
    The objective of this essay is to provide the beginning of a principled classification of some of the ways space is intelligently used. Studies of planning have typically focused on the temporal ordering of action, leaving as unaddressed questions of where to lay down instruments, ingredients, work-in-progress, and the like. But, in having a body, we are spatially located creatures: we must always be facing some direction, have only certain objects in view, be within reach of certain others. How we (...)
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  46. The Ethics of Digital Well-Being: A Thematic Review.Christopher Burr, Mariarosaria Taddeo & Luciano Floridi - 2020 - Science and Engineering Ethics 26:2313–2343.
    This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several (...)
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  47. Diabetes Prediction Using Artificial Neural Network.Nesreen Samer El_Jerjawi & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 121:54-64.
    Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial (...)
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  48. Review of The Emotion Machine by Marvin Minsky (2007).Michael Starks - 2016 - In Suicidal Utopian Delusions in the 21st Century: Philosophy, Human Nature and the Collapse of Civilization-- Articles and Reviews 2006-2017 2nd Edition Feb 2018. Michael Starks. pp. 627.
    Dullest book by a major scientist I have ever read. I suppose if you know almost nothing about cognition or AI research you might find this book useful. For anyone else it is a horrific bore. There are hundreds of books in cog sci, robotics, AI, evolutionary psychology and philosophy offering far more info and insight on cognition than this one. Minsky is a top rate senior scientist but it barely shows here. He has alot of good references but they (...)
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  49. Measuring the Intelligence of an Idealized Mechanical Knowing Agent.Samuel Alexander - 2020 - Lecture Notes in Computer Science 12226.
    We define a notion of the intelligence level of an idealized mechanical knowing agent. This is motivated by efforts within artificial intelligence research to define real-number intelligence levels of compli- cated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the computable ordinals that have codes the agent knows to be (...)
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  50. Challenges for an Ontology of Artificial Intelligence.Scott H. Hawley - 2019 - Perspectives on Science and Christian Faith 71 (2):83-95.
    Of primary importance in formulating a response to the increasing prevalence and power of artificial intelligence (AI) applications in society are questions of ontology. Questions such as: What “are” these systems? How are they to be regarded? How does an algorithm come to be regarded as an agent? We discuss three factors which hinder discussion and obscure attempts to form a clear ontology of AI: (1) the various and evolving definitions of AI, (2) the tendency for pre-existing technologies to (...)
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