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  1. Leaky Levels and the Case for Proper Embodiment.Mog Stapleton - 2016 - In G. Etzelmüller & C. Tewes (eds.), Embodiment in Evolution and Culture. Tübingen, Germany: pp. 17-30.
    In this chapter I present the thesis of Proper Embodiment: the claim that (at least some of) the details of our physiology matter to cognition and consciousness in a fundamental way. This thesis is composed of two sub-claims: (1) if we are to design, build, or evolve artificial systems that are cognitive in the way that we are, these systems will have to be internally embodied, and (2) the exploitation of the particular internal embodiment that allows systems to evolve solutions (...)
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  2. The Language of Human-Machine Communication. Technology and Language.Daria Bylieva - 2020 - Technology and Language 1 (1):16-21.
    This essay for the inaugural issue of Technology and Language discusses the problem of finding an optimal form of human-machine communication. In the ongoing search for an alien mind, humanity seems to find it not in the infinities of space, but in its own environment. Changes in the language of human-machine interaction made it understandable not only to trained specialists but to every household. In the course of time, home appliances and devices have developed their language abilities even more and (...)
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  3. Could Machines Replace Human Scientists? Digitalization and Scientific Discoveries.Jan G. Michel - 2020 - In Benedikt Paul Göcke & Astrid Rosenthal-von der Pütten (eds.), Artificial Intelligence: Reflections in Philosophy, Theology, and the Social Sciences. pp. 361–376.
    The focus of this article is a question that has been neglected in debates about digitalization: Could machines replace human scientists? To provide an intelligible answer to it, we need to answer a further question: What is it that makes (or constitutes) a scientist? I offer an answer to this question by proposing a new demarcation criterion for science which I call “the discoverability criterion”. I proceed as follows: (1) I explain why the target question of this article is important, (...)
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  4. The Rise of Artificial Intelligence and the Crisis of Moral Passivity.Berman Chan - 2020 - AI and Society 35 (4):991-993.
    Set aside fanciful doomsday speculations about AI. Even lower-level AIs, while otherwise friendly and providing us a universal basic income, would be able to do all our jobs. Also, we would over-rely upon AI assistants even in our personal lives. Thus, John Danaher argues that a human crisis of moral passivity would result However, I argue firstly that if AIs are posited to lack the potential to become unfriendly, they may not be intelligent enough to replace us in all our (...)
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  5. Implementation of AI in Predicting the Value of Indonesian Oil and Gas Exports With BP Algorithm.Sari Dewi Linda & Agus Perdana - 2017 - International Journal of Recent Trends in Engineering and Research 3 (10).
    Export is an activity of selling goods to another country. Indonesia’s main export capital is natural wealth. From natural wealth owned, can be produced various kinds of export goods. Goods that can be exported are goods that are in demand and needed by overseas buyers. Indonesian export commodities consist of petroleum and gas (oil and gas) as well as non-oil and gas. This study aims to predict the value of Indonesia’s oil and gas exports with the Network of Artificial Backpropogation. (...)
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  6. Artificial Intelligence in Finance and Investments.Narendra Rao Tadapaneni - 2019 - International Journal of Innovative Research in Science, Engineering and Technology 9 (5).
    The 21st century has witnessed accelerating growth in the utilization of digitized financial services. There is a consistent effort to simulate, augment, enhance, and replicate human intelligence using artificial technologies, to form intelligent machines. Artificial intelligence, which has its foundations in computer science, linguistics, psychology, mathematics, and philosophy has proved to be a powerful tool in financial services. Firms are now utilizing analytical tools such as machine learning and ANN to analyse data collected over time. AI enhances adaptive pattern recognition (...)
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  7. Artificial Intelligence: Philosophical and Epistemological Perspectives.Pierre Livet & Franck Varenne - 2020 - In H. Prade, Papini O. & Marquis P. (eds.), A Guided Tour of Artificial Intelligence Research. pp. 437-455.
    Research in artificial intelligence (AI) has led to revise the challenges of the AI initial programme as well as to keep us alert to peculiarities and limitations of human cognition. Both are linked, as a careful further reading of the Turing’s test makes it clear from Searle’s Chinese room apologue and from Dreyfus’ suggestions, and in both cases, ideal had to be turned into operating mode. In order to rise these more pragmatic challenges AI does not hesitate to link together (...)
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  8. Arguments and Stories in Legal Reasoning: The Case of Evidence Law.Gianluca Andresani - 2020 - Archiv Fuer Rechts Und Sozialphilosphie 106 (1):75-90.
    We argue that legal argumentation, as the subject matter as well as a special subfield of Argumentation Studies (AS), has to be examined by making skilled use of the full panoply of tools such as argumentation and story schemes which are at the forefront of current work in AS. In reviewing the literature, we make explicit our own methodological choices (particularly regarding the place of normative deliberation in practical reasoning) and then illustrate the implications of such an approach through the (...)
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  9. Revisão de ‘Eu sou um Loop Estranho’ (I am a Strange Loop) por Douglas Hofstadter (2007) (revisão revisada 2019).Michael Richard Starks - 2019 - In Delírios Utópicos Suicidas no Século XXI Filosofia, Natureza Humana e o Colapso da Civilization- Artigos e Comentários 2006-2019 5ª edição. Las Vegas, NV USA: Reality Press. pp. 112-128.
    Último sermão da Igreja do naturalismo fundamentalista pelo pastor Hofstadter. Como o seu muito mais famoso (ou infame por seus erros filosóficos implacáveis) Godel, Escher, Bach, ele tem uma plausibilidade superficial, mas se se compreende que este é um scientismo desenfreado que mistura questões científicas reais com os filosóficos (ou seja, o somente as edições reais são que jogos da língua nós devemos jogar) então quase todo seu interesse desaparece. Eu forneci um quadro para análise baseada na psicologia evolutiva e (...)
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  10. The Picture of Artificial Intelligence and the Secularization of Thought.King-Ho Leung - 2019 - Political Theology 20 (6):457-471.
    This article offers a critical interpretation of Artificial Intelligence (AI) as a philosophical notion which exemplifies a secular conception of thinking. One way in which AI notably differs from the conventional understanding of “thinking” is that, according to AI, “intelligence” or “thinking” does not necessarily require “life” as a precondition: that it is possible to have “thinking without life.” Building on Charles Taylor’s critical account of secularity as well as Hubert Dreyfus’ influential critique of AI, this article offers a theological (...)
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  11. You Only Live Twice: A Computer Simulation of the Past Could Be Used for Technological Resurrection.Alexey Turchin - manuscript
    Abstract: In the future, it will be possible to create advance simulations of ancestor in computers. Superintelligent AI could make these simulations very similar to the real past by creating a simulation of all of humanity. Such a simulation would use all available data about the past, including internet archives, DNA samples, advanced nanotech-based archeology, human memories, as well as text, photos and videos. This means that currently living people will be recreated in such a simulation, and in some sense, (...)
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  12. Thinking Machines and the Philosophy of Computer Science: Concepts and Principles.Jordi Vallverdú - 2010 - IGI.
    Thinking Machines and the Philosophy of Computer Science: Concepts and Principles presents a conversation between established experts and new researchers in the field of philosophy and computer science about human and non-human relationships with the environment. This resource contains five sections including topics on philosophical analysis, the posterior ethical debate, the nature of computer simulations, and the crossroads between robotics, AI, cognitive theories and philosophy.
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  13. Legal Fictions and the Essence of Robots: Thoughts on Essentialism and Pragmatism in the Regulation of Robotics.Fabio Fossa - 2018 - In Mark Coeckelbergh, Janina Loh, Michael Funk, Joanna Seibt & Marco Nørskov (eds.), Envisioning Robots in Society – Power, Politics, and, Public Space. Amsterdam: pp. 103-111.
    The purpose of this paper is to offer some critical remarks on the so-called pragmatist approach to the regulation of robotics. To this end, the article mainly reviews the work of Jack Balkin and Joanna Bryson, who have taken up such ap- proach with interestingly similar outcomes. Moreover, special attention will be paid to the discussion concerning the legal fiction of ‘electronic personality’. This will help shed light on the opposition between essentialist and pragmatist methodologies. After a brief introduction (1.), (...)
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  14. The Automaton Chronicles.Stephen Cave & Kanta Dihal - 2018 - Nature 2018 (559):473-475.
    A brief history of affective responses to AI.
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  15. A Case for Machine Ethics in Modeling Human-Level Intelligent Agents.Robert James M. Boyles - 2018 - Kritike 12 (1):182–200.
    This paper focuses on the research field of machine ethics and how it relates to a technological singularity—a hypothesized, futuristic event where artificial machines will have greater-than-human-level intelligence. One problem related to the singularity centers on the issue of whether human values and norms would survive such an event. To somehow ensure this, a number of artificial intelligence researchers have opted to focus on the development of artificial moral agents, which refers to machines capable of moral reasoning, judgment, and decision-making. (...)
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  16. Surviving Global Risks Through the Preservation of Humanity's Data on the Moon.Alexey Turchin & D. Denkenberger - 2018 - Acta Astronautica:in press.
    Many global catastrophic risks are threatening human civilization, and a number of ideas have been suggested for preventing or surviving them. However, if these interventions fail, society could preserve information about the human race and human DNA samples in the hopes that the next civilization on Earth will be able to reconstruct Homo sapiens and our culture. This requires information preservation of an order of magnitude of 100 million years, a little-explored topic thus far. It is important that a potential (...)
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  17. Artificial Intelligence and its Paradigm.Joop Schopman - 1986 - Zeitschrift Für Allgemeine Wissenschaftstheorie 17 (2):346-352.
    Begriffsanalyse und empirische Forschung auf dem Gebiet der künstlichen Intelligenz zeigen, daß momentan derart kontroverse Ansätze entwickelt werden, daß gemeinschaftliche Momente in Perspektiven und angewandten Methodologien nur schwer auszumachen sind.
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  18. Physikalismus, Willensfreiheit, Künstliche Intelligenz.Marius Backmann & Jan G. Michel (eds.) - 2009 - Brill/mentis.
    Die Debatten zu den Themen Physikalismus, Willensfreiheit und Künstliche Intelligenz stehen seit einigen Jahren im Mittelpunkt der Philosophie des Geistes. In den Debatten um den Physikalismus geht es dabei u.a. um folgende Fragen: Lässt sich alles, was es gibt, physikalisch erklären - auch der menschliche Geist? Lässt sich alles auf das Physische reduzieren? Ist der Bereich des Physischen kausal geschlossen? Realisiert das Physische das Mentale? Wie lässt sich mentale Verursachung erklären? In den Debatten um Willensfreiheit fragt man sich: Sind wir (...)
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  19. Review of Artificial Intelligence and Human Reason: A Teleological Critique. [REVIEW]John M. Ford - 1991 - Journal of Theoretical and Philosophical Psychology 11 (2):126-130.
    Reviews the book, Artificial intelligence and human reason: A teleological critique by J. F. Rychlak. There is a frequent lack of communication between artificial intelligence practitioners and critics. Joseph Rychlak's latest book is an attempt to contribute productively to this exchange. He introduces his work by stating: "I think it is relatively easy to write a superficial book "picking" on the computer as somehow inadequate to the description of human beings. Overall, Rychlak provides a sufficiently detailed criticism of computational approaches (...)
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  20. Blay Whitby, Reflections on Artificial Intelligence: The Legal, Moral, and Ethical Dimensions, Exeter, UK: Intellect Books, 1996, 127 Pp., £14.95 , ISBN 1-871516-68-4. [REVIEW]Stacey L. Edgar - 1999 - Minds and Machines 9 (1):133-139.
  21. M. Gams, M. Paprzycki and X. Wu, Eds., Mind Versus Computer: Were Dreyfus and Winograd Right?, Frontiers in Artificial Intelligence and Applications, Vol. 43, Amsterdam: IOS Press, 1997, Xiii + 235 Pp. , ISBN 90-5199-357-9. [REVIEW]Charles E. M. Dunlop - 2000 - Minds and Machines 10 (2):289-296.
  22. Artificial Intelligence and Plato’s Cave.David Weinberger - 1988 - Idealistic Studies 18 (1):1-9.
    We are not today close to producing a computer that could convince us that it is intelligent. Some philosophers have argued that we are not even appreciably closer to this goal than we were ten years ago. But why should artificial intelligence even be considered possible? In this paper I shall argue that the temptation to believe in the possibility of AI stems from a misunderstanding about the nature of ideas; further, this misunderstanding can be traced back at least to (...)
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  23. Nano-Enabled AI: Some Philosophical Issues.J. Storrs Hall - 2006 - International Journal of Applied Philosophy 20 (2):247-261.
    Improvements in computational hardware enabled by nanotechnology promise a dual revolution in coming decades: machines which are both more intelligent and more numerous than human beings. This possibility raises substantial concern over the moral nature of such intelligent machines. An analysis of the prospects involves at least two key philosophical issues. The first, intentionality in formal systems, turns on whether a “mere machine” can be a mind whose thoughts have true meaning and understanding. Second, what is the moral nature of (...)
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  24. Artificial Intelligence Modeling of Spontaneous Self Learning: An Application of Dialectical Philosophy.Karina Stokes - 1996 - International Journal of Applied Philosophy 10 (2):1-6.
  25. Artificial Intelligence. [REVIEW]Eduardo Alonso Fernández - 1995 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 10 (1):222-224.
  26. Dewey, Enactivism and Greek Thought.Matthew Crippen - 2016 - In Roman Madzia & Matthaus Jung (eds.), Pragmatism and Embodied Cognitive Science: From Bodily Interaction to Symbolic Articulation. Berlin, Germany: De Gruyter. pp. 229-246.
    In this chapter, I examine how Dewey circumnavigated debates between empiricists and a priorists by showing that active bodies can perform integrative operations traditionally attributed to “inner” mechanisms, and how he thereby realized developments at which the artificial intelligence, robotics and cognitive science communities only later arrived. Some of his ideas about experience being constituted through skills actively deployed in cultural settings were inspired by ancient Greek sources. Thus in some of his more radical moments, Dewey refined rather than invented (...)
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  27. A Patch for the Simulation Argument.N. Bostrom & M. Kulczycki - 2011 - Analysis 71 (1):54-61.
    This article reports on a newly discovered bug in the original simulation argument. Two different ways of patching the argument are proposed, each of which preserves the original conclusion.
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  28. Early-Connectionism Machines.Roberto Cordeschi - 2000 - AI and Society 14 (3-4):314-330.
    In this paper I put forward a reconstruction of the evolution of certain explanatory hypotheses on the neural basis of association and learning that are the premises of connectionism in the cybernetic age and of present-day connectionism. The main point of my reconstruction is based on two little-known case studies. The first is the project, published in 1913, of a hydraulic machine through which its author believed it was possible to simulate certain essential elements of the plasticity of nervous connections. (...)
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  29. Operators Vs. Arguments: The Ins and Outs of Reification.Antony Galton - 2006 - Synthese 150 (3):415-441.
    So-called ‘reified temporal logics’ were introduced by researchers in Artificial Intelligence (AI) in the early 1980s, and gave rise to a long-running series of debates concerning the proper way to represent states, events, causation, action, and other notions identified as crucial to the knowledge representation needs of AI. These debates never resulted in a definitive resolution of the issues under discussion, and indeed continue to produce aftershocks to the present day; none the less, we are now sufficiently far removed in (...)
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  30. Computers, Minds, and Conduct.Graham Button, Jeff Coulter, John R. E. Lee & Wes Sharrock - 1995 - Polity.
    This book provides a sustained and penetrating critique of a wide range of views in modern cognitive science and philosophy of the mind, from Turing's famous test for intelligence in machines to recent work in computational linguistic theory. While discussing many of the key arguments and topics, the authors also develop a distinctive analytic approach. Drawing on the methods of conceptual analysis first elaborated by Wittgenstein and Ryle, the authors seek to show that these methods still have a great deal (...)
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  31. The Blackwell Guide to Philosophy of Mind.Stephen Stich & Ted A. Warfield (eds.) - 2003 - Wiley-Blackwell.
    Comprising a series of specially commissioned chapters by leading scholars, this comprehensive volume presents an up-to-date survey of the central themes in the philosophy of mind. It leads the reader through a broad range of topics, including Artificial Intelligence, Consciousness, Dualism, Emotions, Folk Psychology, Free Will, Individualism, Personal Identity and The Mind-Body Problem. Provides a state of the art overview of philosophy of mind. Contains 16 newly-commissioned articles, all of which are written by internationally distinguished scholars. Each chapter reviews a (...)
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  32. Guest Editors’ Introduction.James Delgrande & Jérôme Lang - 2015 - Journal of Philosophical Logic 44 (2):111-115.
    This special issue presents a selection of papers in Knowledge Representation in Artificial Intelligence , intended to illustrate the depth and breadth of current research in the area. It comes just over 25 years since a similar special issue of the Journal of Philosophical Logic appeared on the topic Philosophical Logic and Artificial Intelligence [15]. This latter special issue covered work addressing the use of logic, in one form or another, for representing and reasoning with knowledge. The papers of the (...)
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  33. Philosophy and Computer Science.Timothy R. Colburn - 2000
  34. Machinations Computational Studies of Logic, Language, and Cognition.Richard Spencer-Smith & S. B. Torrance - 1992
  35. The Impact of Ai on Philosophy.Margaret A. Boden - 1991 - School of Cognitive and Computing Sciences, University of Sussex.
  36. Computational Philosophy of Science.Paul Thagard - 1988
  37. Superminds People Harness Hypercomputation, and More.Selmer Bringsjord & Michael John Zenzen - 2003
  38. Qu’est-ce que l’informatique.Franck Varenne - 2009 - Paris: Vrin.
    Que peut bien être l’informatique pour nous envahir à ce point? Se fondant sur des travaux récents de philosophie de l’informatique, ce livre revient sur la notion de Machine de Turing et sur la Thèse de Church : l’ordinateur peut-il tout simuler? . Eclairant les notions de computation et d’abstraction à la lumière de celles de simulation et d’ontologie, il montre en quoi l’informatique n’est ni simplement une branche des mathématiques, ni une technologie de l’information, mais une technologie des croisements (...)
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  39. Philosophical Perspectives in Artificial Intelligence by Martin D. Ringle. [REVIEW]Norbert Hornstein - 1981 - Journal of Philosophy 78 (7):408-415.
  40. Principles of Knowledge Representation.Gerhard Brewka - 2002 - Center for the Study of Language and Inf.
  41. The Philosophical Impetus for Computer-Assisted Intelligence Research.H. Hrachovec - 1990 - Philosophische Rundschau 37 (4):278-297.
  42. From Classification to Indexing: How Automation Transforms the Way We Think.F. Allan Hanson - 2004 - Social Epistemology 18 (4):333-356.
    To classify is to organize the particulars in a body of information according to some meaningful scheme. Difficulty recognizing metaphor, synonyms and homonyms, and levels of generalization renders those applications of artificial intelligence that are currently in widespread use at a loss to deal effectively with classification. Indexing conveys nothing about relationships; it pinpoints information on particular topics without reference to anything else. Keyword searching is a form of indexing, and here artificial intelligence excels. Growing reliance on automated means of (...)
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  43. Mind, Nature and the Emerging Science of Change: An Introduction to Metamorphology.James Wilk - 1999 - In S. Smets J. P. Van Bendegem G. C. Cornelis (ed.), Metadebates on Science. Vub-Press & Kluwer. pp. 71--87.
    Over these few short pages, I should like to offer you a brief introduction, or rather, a lengthy invitation, to an emerging field of scientific study. Rather than attempt, impossibly, to convey the richness of the tapestry, and its significance, I shall confine myself instead to drawing your attention to just a few of the threads running through it, and say a little about why I think these threads worth pursuing.
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  44. How Just Could a Robot War Be?Peter Asaro - 2008 - In P. Brey, A. Briggle & K. Waelbers (eds.), Current Issues in Computing and Philosophy. Ios Press. pp. 50--64.
  45. Minnesota Center for the Philosophy of Science Although the Last International Conference on Cybernetics Was Held in 1955, the Ensuing Blitzkrieg of Articles and Books in the Overlapping Areas of Artificial Intelligence (AI) and Computer Simu.Keith Gunderson - 1968 - In Raymond Klibansky (ed.), Contemporary Philosophy. Firenze, la Nuova Italia. pp. 2--416.
  46. Computer Go: A Grand Challenge to AI.Xindi Cai & I. I. Wunsch - 2007 - In Wlodzislaw Duch & Jacek Mandziuk (eds.), Challenges for Computational Intelligence. Springer. pp. 443--465.
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  47. Art and Robotics: Sixty Years of Situated Machines. [REVIEW]Simon Penny - 2013 - AI and Society 28 (2):147-156.
    This paper pursues the intertwined tracks of robotics and art since the mid 20th century, taking a loose chronological approach that considers both the devices themselves and their discursive contexts. Relevant research has occurred in a variety of cultural locations, often outside of or prior to formalized robotics contexts. Research was even conducted under the aegis of art or cultural practices where robotics has been pursued for other than instrumental purposes. In hindsight, some of that work seems remarkably prescient of (...)
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  48. Does Computation Reveal Machine Cognition?Prakash Mondal - 2014 - Biosemiotics 7 (1):97-110.
    This paper seeks to understand machine cognition. The nature of machine cognition has been shrouded in incomprehensibility. We have often encountered familiar arguments in cognitive science that human cognition is still faintly understood. This paper will argue that machine cognition is far less understood than even human cognition despite the fact that a lot about computer architecture and computational operations is known. Even if there have been putative claims about the transparency of the notion of machine computations, these claims do (...)
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  49. Kaj Elgstrand and Nils F. Petersson (Editors): OSH for Development. [REVIEW]Richard Ennals - 2010 - AI and Society 25 (3):375-376.
  50. Connectionism and Artificial Intelligence as Cognitive Models.Daniel Memmi - 1990 - AI and Society 4 (2):115-136.
    The current renewal of connectionist techniques using networks of neuron-like units has started to have an influence on cognitive modelling. However, compared with classical artificial intelligence methods, the position of connectionism is still not clear. In this article artificial intelligence and connectionism are systematically compared as cognitive models so as to bring out the advantages and shortcomings of each. The problem of structured representations appears to be particularly important, suggesting likely research directions.
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