This category needs an editor. We encourage you to help if you are qualified.
Volunteer, or read more about what this involves.
Related categories

684 found
Order:
1 — 50 / 684
Material to categorize
  1. On the Irrationality of Mind-Uploading: A Rely to Neil Levy. [REVIEW]Nicholas Agar - 2012 - AI and Society 27 (4):431-436.
    In a paper in this journal, Neil Levy challenges Nicholas Agar’s argument for the irrationality of mind-uploading. Mind-uploading is a futuristic process that involves scanning brains and recording relevant information which is then transferred into a computer. Its advocates suppose that mind-uploading transfers both human minds and identities from biological brains into computers. According to Agar’s original argument, mind-uploading is prudentially irrational. Success relies on the soundness of the program of Strong AI—the view that it may someday be possible to (...)
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  2. Manfred Spitzer, the Mind Within the Net. Models of Learning, Thinking, and Acting.Kenneth Aizawa - 2001 - Minds and Machines 11 (3):445-448.
  3. Introduction to the Special Issue on Philosophical Foundations of Artificial Intelligence.Varol Akman - 2000 - Journal of Experimental and Theoretical Artificial Intelligence 12 (3):247-250.
    This is the guest editor's introduction to a JETAI special issue on philosophical foundations of AI.
    Remove from this list   Direct download (9 more)  
     
    Export citation  
     
    My bibliography  
  4. A.I., Scientific Discovery and Realism.Mario Alai - 2004 - Minds and Machines 14 (1):21-42.
    Epistemologists have debated at length whether scientific discovery is a rational and logical process. If it is, according to the Artificial Intelligence hypothesis, it should be possible to write computer programs able to discover laws or theories; and if such programs were written, this would definitely prove the existence of a logic of discovery. Attempts in this direction, however, have been unsuccessful: the programs written by Simon's group, indeed, infer famous laws of physics and chemistry; but having found no new (...)
    Remove from this list   Direct download (15 more)  
     
    Export citation  
     
    My bibliography  
  5. Artificial Intelligence and the Evidentiary Process: The Challenges of Formalism and Computation. [REVIEW]Ronald J. Allen - 2001 - Artificial Intelligence and Law 9 (2-3):99-114.
    The tension between rule and judgment is well known with respect to the meaning of substantive legal commands. The same conflict is present in fact finding. The law penetrates to virtually all aspects of human affairs; irtually any interaction can generate a legal conflict. Accurate fact finding about such disputes is a necessary condition for the appropriate application of substantive legal commands. Without accuracy in fact finding, the law is unpredictable, and thus individuals cannot efficiently accommodate their affairs to its (...)
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    My bibliography  
  6. Rethinking Autonomy.Richard Alterman - 2000 - Minds and Machines 10 (1):15-30.
    This paper explores the assumption of autonomy. Several arguments are presented against the assumption of runtime autonomy as a principle of design for artificial intelligence systems. The arguments vary from being theoretical, to practical, and to analytic. The latter parts of the paper focus on one strategy for building non-autonomous systems (the practice view). One critical theme is that intelligence is not located in the system alone, it emerges from a history of interactions among user, builder, and designer over a (...)
    Remove from this list   Direct download (8 more)  
     
    Export citation  
     
    My bibliography  
  7. Projects.Michael Anderson - manuscript
    Description: The massive redeployment hypothesis (MRH) is a theory about the functional organization of the human cortex, offering a middle course between strict localization on the one hand, and holism on the other. Central to MRH is the claim that cognitive evolution proceeded in a way analogous to component reuse in software engineering, whereby existing components—originally developed to serve some specific purpose—were used for new purposes and combined to support new capacities, without disrupting their participation in existing programs.
    Remove from this list  
     
    Export citation  
     
    My bibliography  
  8. Reviews. [REVIEW]Michael Anderson - manuscript
    Embodied cognition (EC) is growing up, and How the Body Shapes the Mind is both a sign of, and substantive contributor to, this ongoing development. Born in or about 1991 (the year of publication of seminal works by Brooks, Dreyfus, and Varela, Thompson & Rosch), EC is only now emerging from a tumultuous but exciting childhood marked in particular by the size and breadth of the extended family hoping to have some impact on its early education and upbringing. As family (...)
    Remove from this list  
     
    Export citation  
     
    My bibliography  
  9. The Metacognitive Loop I: Enhancing Reinforcement Learning with Metacognitive Monitoring and Control for Improved Perturbation Tolerance||.Michael Anderson - manuscript
    Maintaining adequate performance in dynamic and uncertain settings has been a perennial stumbling block for intelligent systems. Nevertheless, any system intended for real-world deployment must be able to accommodate unexpected change—that is, it must be perturbation tolerant. We have found that metacognitive monitoring and control—the ability of a system to self-monitor its own decision-making processes and ongoing performance, and to make targeted changes to its beliefs and action-determining components—can play an important role in helping intelligent systems cope with the perturbations (...)
    Remove from this list  
     
    Export citation  
     
    My bibliography   2 citations  
  10. The Case for Integrated Intelligence.Marcus Anthony - 2008 - World Futures 64 (4):233 – 253.
    In this article I develop a case for a theory of intelligence incorporating transpersonal dimensions, namely integrated intelligence. Some recent expanded theories of intelligence move into concepts like creativity, wisdom, and emotional intelligence. Yet they remain embedded within mainstream intelligence theory and its reductionist and materialist presuppositions. Although various theorists in consciousness theory have developed transpersonal models that are beginning to be discussed in some mainstream circles, mainstream intelligence theory is yet to address the broader implications of this. Recent changes (...)
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    My bibliography  
  11. The Computer Simulation Of Behaviour.Michael J. Apter - 1970 - Hutchinson.
  12. 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.
  13. Case-Based Reasoning and its Implications for Legal Expert Systems.Kevin D. Ashley - 1992 - Artificial Intelligence and Law 1 (2-3):113-208.
    Reasoners compare problems to prior cases to draw conclusions about a problem and guide decision making. All Case-Based Reasoning (CBR) employs some methods for generalizing from cases to support indexing and relevance assessment and evidences two basic inference methods: constraining search by tracing a solution from a past case or evaluating a case by comparing it to past cases. Across domains and tasks, however, humans reason with cases in subtly different ways evidencing different mixes of and mechanisms for these components.In (...)
    Remove from this list   Direct download (6 more)  
     
    Export citation  
     
    My bibliography   7 citations  
  14. The Intelligence Left in AI.Denis L. Baggi - 2000 - AI and Society 14 (3-4):348-378.
    In its forty years of existence, Artificial Intelligence has suffered both from the exaggerated claims of those who saw it as the definitive solution of an ancestral dream — that of constructing an intelligent machine-and from its detractors, who described it as the latest fad worthy of quacks. Yet AI is still alive, well and blossoming, and has left a legacy of tools and applications almost unequalled by any other field-probably because, as the heir of Renaissance thought, it represents a (...)
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    My bibliography  
  15. Animate Vision.Dana Ballard - 1991 - Artificial Intelligence 48:57-86.
  16. Neuroscience, Artificial Intelligence, and Human Nature: Theological and Philosophical Reflections.Ian G. Barbour - 1999 - In Zygon. Notre Dame: University Notre Dame Press. pp. 361-398.
  17. Neuroscience and the Person: Scientific Perspectives on Divine Action.Ian G. Barbour - 1999 - Notre Dame: University Notre Dame Press.
  18. What Is Thought?Eric B. Baum - 2004 - Cambridge MA: Bradford Book/MIT Press.
    In What Is Thought? Eric Baum proposes a computational explanation of thought.
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    My bibliography   7 citations  
  19. Phenomenology and Artificial Intelligence.Anthony F. Beavers - 2002 - Metaphilosophy 33 (1-2):70-82.
    In CyberPhilosophy: The Intersection of Philosophy and Computing, edited by James H. Moor and Terrell Ward Bynum (Oxford, UK: Blackwell, 2002), 66-77. Also in Metaphilosophy 33.1/2 (2002): 70-82.
    Remove from this list   Direct download (6 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  20. The Rhine Legacy.John Beloff - 1989 - Philosophical Psychology 2 (2):231-239.
    Abstract An attempt is made to examine the main principles that underlay the ?Rhinean? school of parapsychology. Five such principles are discussed: (1) that psi can best be assessed using quantitative measures and forced?choice tests; (2) that psi is a function of the unconscious with the implication that objective performance alone is important, not the state of mind of the subject; (3) that psi ability is, to some degree, present in everyone; (4) that only those problems deserve attention for which (...)
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  21. Book Review. [REVIEW]T. Bench-Capon - 1995 - Artificial Intelligence and Law 3 (3):273-274.
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    My bibliography  
  22. Argument in Artificial Intelligence and Law.Trevor Bench-Capon - 1997 - Artificial Intelligence and Law 5 (4):249-261.
    In this paper I shall discuss the notion of argument, and the importanceof argument in AI and Law. I shall distinguish four areas where argument hasbeen applied: in modelling legal reasoning based on cases; in thepresentation and explanation of results from a rule based legal informationsystem; in the resolution of normative conflict and problems ofnon-monotonicity; and as a basis for dialogue games to support the modellingof the process of argument. The study of argument is held to offer prospectsof real progress (...)
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    My bibliography   3 citations  
  23. Polanyi's Proof.Gilbert Bennett - manuscript
    Cybernetics,” which he presented as en suite with six articles by several others on the same subject in the same journal during the preceding 18 months. This group of short papers, starting with one by Karl Popper, may be regarded as part of the first wave of response to Alan Turing’s famous paper, “Computing Machinery and Intelligence,” in 1950. Polanyi read Turing’s paper in draft and discussed it directly with Turing. The polemic as to whether machines can think and the (...)
    Remove from this list   Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    My bibliography  
  24. Machine Learning and the Foundations of Inductive Inference.F. Bergadano - 1993 - Minds and Machines 3 (1):31-51.
    The problem of valid induction could be stated as follows: are we justified in accepting a given hypothesis on the basis of observations that frequently confirm it? The present paper argues that this question is relevant for the understanding of Machine Learning, but insufficient. Recent research in inductive reasoning has prompted another, more fundamental question: there is not just one given rule to be tested, there are a large number of possible rules, and many of these are somehow confirmed by (...)
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    My bibliography  
  25. Book Review. [REVIEW]Donald H. Berman - 1992 - Artificial Intelligence and Law 1 (2-3):237-243.
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  26. Book Symposium on John Horgan's the Undiscovered Mind: How the Human Brain Denies Replication, Medication and Explanation. [REVIEW]John Bickle - 2001 - Brain and Mind 2 (2):213-213.
  27. Animal Perception From an Artificial Intelligence Viewpoint.Margaret Boden - 1984 - In Christopher Hookway (ed.), Minds, Machines, and Evolution: Philosophical Studies. Cambridge University Press.
    Remove from this list  
     
    Export citation  
     
    My bibliography   1 citation  
  28. The Impact of Ai on Philosophy.Margaret A. Boden - 1991 - School of Cognitive and Computing Sciences, University of Sussex.
  29. The Philosophy of Artificial Intelligence.Margaret A. Boden (ed.) - 1990 - Oxford University Press.
    This interdisciplinary collection of classical and contemporary readings provides a clear and comprehensive guide to the many hotly-debated philosophical issues at the heart of artificial intelligence.
    Remove from this list  
     
    Export citation  
     
    My bibliography   25 citations  
  30. Artificial Intelligence In Psychology: Interdisciplinary Essays.Margaret A. Boden - 1989 - Cambridge: MIT Press.
    Remove from this list  
     
    Export citation  
     
    My bibliography   2 citations  
  31. Artificial Intelligence and Piagetian Theory.Margaret A. Boden - 1978 - Synthese 38 (July):389-414.
    Remove from this list   Direct download (6 more)  
     
    Export citation  
     
    My bibliography  
  32. How Artificial is Artificial Intelligence? [REVIEW]Margaret A. Boden - 1973 - British Journal for the Philosophy of Science 24 (1):61-72.
    Remove from this list   Direct download (7 more)  
     
    Export citation  
     
    My bibliography  
  33. A Modal Defence of Strong AI.Steffen Borge - 2007 - In Dermot Moran Stephen Voss (ed.), The Proceedings of the Twenty-First World Congress of Philosophy. The Philosophical Society of Turkey. pp. 127-131.
    John Searle has argued that the aim of strong AI of creating a thinking computer is misguided. Searle’s Chinese Room Argument purports to show that syntax does not suffice for semantics and that computer programs as such must fail to have intrinsic intentionality. But we are not mainly interested in the program itself but rather the implementation of the program in some material. It does not follow by necessity from the fact that computer programs are defined syntactically that the implementation (...)
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    My bibliography  
  34. Artificial Intelligence: The Case Against.Rainer P. Born (ed.) - 1987 - St Martin's Press.
  35. Formal Analysis of Dynamics Within Philosophy of Mind by Computer Simulation.Tibor Bosse, Martijn C. Schut & Jan Treur - 2009 - Minds and Machines 19 (4):543-555.
    Computer simulations can be useful tools to support philosophers in validating their theories, especially when these theories concern phenomena showing nontrivial dynamics. Such theories are usually informal, whilst for computer simulation a formally described model is needed. In this paper, a methodology is proposed to gradually formalise philosophical theories in terms of logically formalised dynamic properties. One outcome of this process is an executable logic-based temporal specification, which within a dedicated software environment can be used as a simulation model to (...)
    Remove from this list   Direct download (10 more)  
     
    Export citation  
     
    My bibliography  
  36. 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.
    Remove from this list   Direct download (6 more)  
     
    Export citation  
     
    My bibliography  
  37. The Transhumanist FAQ.Nick Bostrom - manuscript
  38. How Long Before Superintelligence?Nick Bostrom - 1998 - International Journal of Futures Studies 2.
    _This paper outlines the case for believing that we will have superhuman artificial intelligence_ _within the first third of the next century. It looks at different estimates of the processing power of_ _the human brain; how long it will take until computer hardware achieve a similar performance;_ _ways of creating the software through bottom-up approaches like the one used by biological_ _brains; how difficult it will be for neuroscience figure out enough about how brains work to_ _make this approach work; (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    My bibliography   5 citations  
  39. Lecture Notes in Artificial Intelligence.P. Bouquet (ed.) - 2001 - Kluwer Academic Publishers.
    Remove from this list  
    Translate
     
     
    Export citation  
     
    My bibliography  
  40. Book Review. [REVIEW]Danièle Bourcier - 2006 - Artificial Intelligence and Law 14 (3):241-246.
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  41. Uncertainty in Artificial Intelligence 16.C. Boutilier & M. Goldszmidt (eds.) - 2000 - Morgan Kaufmann.
    Remove from this list  
    Translate
     
     
    Export citation  
     
    My bibliography  
  42. A Computational Model of Ratio Decidendi.L. Karl Branting - 1993 - Artificial Intelligence and Law 2 (1):1-31.
    This paper proposes a model ofratio decidendi as a justification structure consisting of a series of reasoning steps, some of which relate abstract predicates to other abstract predicates and some of which relate abstract predicates to specific facts. This model satisfies an important set of characteristics ofratio decidendi identified from the jurisprudential literature. In particular, the model shows how the theory under which a case is decided controls its precedential effect. By contrast, a purely exemplar-based model ofratio decidendi fails to (...)
    Remove from this list   Direct download (6 more)  
     
    Export citation  
     
    My bibliography   7 citations  
  43. Book Review. [REVIEW]L. Karl Branting - 1993 - Artificial Intelligence and Law 2 (3):233-238.
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  44. Principles of Knowledge Representation.Gerhard Brewka - 2002 - Center for the Study of Language and Inf.
  45. Lecture Notes in Artificial Intelligence.P. Brezillon & P. Bouquet (eds.) - 1999 - Springer.
    Remove from this list  
    Translate
     
     
    Export citation  
     
    My bibliography  
  46. Logic and Artificial Intelligence: Divorced, Still Married, Separated ...? [REVIEW]Selmer Bringsjord & David A. Ferrucci - 1998 - Minds and Machines 8 (2):273-308.
    Though it''s difficult to agree on the exact date of their union, logic and artificial intelligence (AI) were married by the late 1950s, and, at least during their honeymoon, were happily united. What connubial permutation do logic and AI find themselves in now? Are they still (happily) married? Are they divorced? Or are they only separated, both still keeping alive the promise of a future in which the old magic is rekindled? This paper is an attempt to answer these questions (...)
    Remove from this list   Direct download (10 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  47. Superminds People Harness Hypercomputation, and More.Selmer Bringsjord & Michael John Zenzen - 2003
  48. The Relationship Between Matter and Life.Rodney Brooks - 2001 - Nature 409 (6818):409-411.
    Researchers in artificial intelligence (AI) Moore’s law states that computational complexity of the models is still far below that and artificial life (Alife) are interested resources for a fixed price roughly double of any living system. New experiments in evo- in understanding the properties of liv- every 18 months. From about 1975 into the lution simulate spatially isolated populations ing organisms so that they can build artificial early 1990s all the gains of Moore’s law went to investigate speciation. Over the (...)
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    My bibliography   4 citations  
  49. The Intelligent Room Project.Rodney A. Brooks - unknown
    At the MIT Arti cial Intelligence Laboratory we have been working on technologies for an Intelligent Room. Rather than pull people into the virtual world of the computer we are trying to pull the computer out into the real world of people. To do this we are combining robotics and vision technology with speech understanding systems, and agent based architectures to provide ready at hand computation and information services for people engaged in day to day activities, both on their own (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    My bibliography  
  50. Why Robot Nannies Probably Won't Do Much Psychological Damage.Joanna J. Bryson - 2010 - Interaction Studies 11 (2):196-200.
1 — 50 / 684