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  1. added 2020-05-09
    AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction Requires Collaboration.Samuel Alexander - forthcoming - In International Conference on Artificial General Intelligence. Springer.
    Can an AGI create a more intelligent AGI? Under idealized assumptions, for a certain theoretical type of intelligence, our answer is: “Not without outside help”. This is a paper on the mathematical structure of AGI populations when parent AGIs create child AGIs. We argue that such populations satisfy a certain biological law. Motivated by observations of sexual reproduction in seemingly-asexual species, the Knight-Darwin Law states that it is impossible for one organism to asexually produce another, which asexually produces another, and (...)
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  2. added 2020-03-24
    Introduction to a Systemic Theory of Meaning - March 2020 Update.Christophe Menant - manuscript
    Information and meanings are present everywhere around us and within ourselves. Specific studies have been implemented in order to link information and meaning (Linguistic, Semiotic, Biosemiotic, Psychology, Psychiatry, Biology, Neurology, Cognition, Artificial Intelligence... ). No general coverage is available for the notion of meaning. We propose to complement this lack by a system approach for meaning genaration. A Meaning Generator System based on constraint satisfaction is presented. It can be used for animals, humans and artificial agents, and makes available definitions (...)
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  3. added 2020-02-15
    The Archimedean Trap: Why Traditional Reinforcement Learning Will Probably Not Yield AGI.Samuel Allen Alexander - manuscript
    After generalizing the Archimedean property of real numbers in such a way as to make it adaptable to non-numeric structures, we demonstrate that the real numbers cannot be used to accurately measure non-Archimedean structures. We argue that, since an agent with Artificial General Intelligence (AGI) should have no problem engaging in tasks that inherently involve non-Archimedean rewards, and since traditional reinforcement learning rewards are real numbers, therefore traditional reinforcement learning cannot lead to AGI. We indicate two possible ways traditional reinforcement (...)
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  4. added 2019-12-29
    The Mind Beyond Itself.Robert A. Wilson - 2000 - In Dan Sperber (ed.), Metarepresentations: A Multidisciplinary Perspective. New York, NY, USA: Oxford University Press. pp. 31-52.
    This paper argues that the metarepresentational systems we posses are wide or extended, rather than individualistic. There are two basic ideas. The first is that metarepresentation inherits its width from the mental representation of its objects. The second is that mental processing often operates on internal and external symbols, and this suggests that cognitive systems extend beyond the heads that house them.
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  5. added 2019-12-20
    Será que Hominoids ou Androids Destroem a Terra? — uma revisão de Como Criar Uma Mente (How to Create a Mind) por Ray Kurzweil (2012) (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. 155-167.
    Alguns anos atrás, cheguei ao ponto onde eu normalmente pode dizer a partir do título de um livro, ou pelo menos a partir dos títulos do capítulo, que tipos de erros filosóficos serão feitas e com que freqüência. No caso de obras nominalmente científicas, estas podem ser largamente restritas a certos capítulos que enceram filosóficos ou tentam tirar conclusões gerais sobre o significado ou significado a longo prazo do trabalho. Normalmente entretanto as matérias científicas do fato são misturado generosa com (...)
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  6. added 2019-09-19
    Andy Clark and His Critics.Matteo Colombo, Elizabeth Irvine & Mog Stapleton (eds.) - 2019 - Oxford University Press.
    In this volume, a range of high-profile researchers in philosophy of mind, philosophy of cognitive science, and empirical cognitive science, critically engage with Clark's work across the themes of: Extended, Embodied, Embedded, Enactive, and Affective Minds; Natural Born Cyborgs; and Perception, Action, and Prediction. Daniel Dennett provides a foreword on the significance of Clark's work, and Clark replies to each section of the book, thus advancing current literature with original contributions that will form the basis for new discussions, debates and (...)
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  7. added 2019-09-16
    Autômatos, Androides e Bergson ou A percepção e a Extensão em seres artificiais da Ficção: Um olhar Bergsoniano.Sandro Rinaldi Feliciano - 2016 - Dissertation, Universidade Federal Do ABC
    Androides são "autômatos com forma humana" . Enquanto robôs são "aparelhos automáticos capazes de manipular objetos ou executar operações segundo um programa". Assim podemos dizer que um androide pode ser considerado um robô, mas nem todo robô é um androide. Devido à diversidade de gêneros, foi criado o termo ginóide, separando-se assim os androides de aparência masculina (andros) da feminina (ginos). A propagação destes se deu à ficção cientifica, em livros de Isaac Asimov, em seriados para televisão como Jornada nas (...)
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  8. added 2019-06-05
    Modal Ω-Logic: Automata, Neo-Logicism, and Set-Theoretic Realism.Hasen Khudairi - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer.
    This essay examines the philosophical significance of Ω-logic in Zermelo-Fraenkel set theory with choice (ZFC). The dual isomorphism between algebra and coalgebra permits Boolean-valued algebraic models of ZFC to be interpreted as coalgebras. The modal profile of Ω-logical validity can then be countenanced within a coalgebraic logic, and Ω-logical validity can be defined via deterministic automata. I argue that the philosophical significance of the foregoing is two-fold. First, because the epistemic and modal profiles of Ω-logical validity correspond to those of (...)
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  9. added 2019-06-05
    Phantom Body as Bodily Self-Consciousness.Przemysław Nowakowski - 2011 - Avant: Trends in Interdisciplinary Studies 2 (1):135–149.
    In the article, I propose that the body phantom is a phenomenal and functional model of one’s own body. This model has two aspects. On the one hand, it functions as a tacit sensory representation of the body that is at the same time related to the motor aspects of body functioning. On the other hand, it also has a phenomenal aspect as it constitutes the content of conscious bodily experience. This sort of tacit, functional and sensory model is related (...)
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  10. added 2018-09-24
    Meinongian Semantics and Artificial Intelligence.William J. Rapaport - 2013 - Humana Mente 6 (25):25-52.
    This essay describes computational semantic networks for a philosophical audience and surveys several approaches to semantic-network semantics. In particular, propositional semantic networks are discussed; it is argued that only a fully intensional, Meinongian semantics is appropriate for them; and several Meinongian systems are presented.
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  11. added 2018-09-06
    Semantics and the Computational Paradigm in Cognitive Psychology.Eric Dietrich - 1989 - Synthese 79 (1):119-141.
    There is a prevalent notion among cognitive scientists and philosophers of mind that computers are merely formal symbol manipulators, performing the actions they do solely on the basis of the syntactic properties of the symbols they manipulate. This view of computers has allowed some philosophers to divorce semantics from computational explanations. Semantic content, then, becomes something one adds to computational explanations to get psychological explanations. Other philosophers, such as Stephen Stich, have taken a stronger view, advocating doing away with semantics (...)
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  12. added 2018-07-09
    ID + MD = OD Towards a Fundamental Algorithm for Consciousness.Thomas McGrath - manuscript
    The Algorithm described in this short paper is a simplified formal representation of consciousness that may be applied in the fields of Psychology and Artificial Intelligence. -/- Click on the download link to read full essay...
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  13. added 2018-06-29
    Heterogeneous Proxytypes Extended: Integrating Theory-Like Representations and Mechanisms with Prototypes and Exemplars.Antonio Lieto - 2018 - In Advances in Intelligent Systems and Computing: Proceedings of BICA. Springer.
    The paper introduces an extension of the proposal according to which conceptual representations in cognitive agents should be intended as heterogeneous proxytypes. The main contribution of this paper is in that it details how to reconcile, under a heterogeneous representational perspective, different theories of typicality about conceptual representation and reasoning. In particular, it provides a novel theoretical hypothesis - as well as a novel categorization algorithm called DELTA - showing how to integrate the representational and reasoning assumptions of the theory-theory (...)
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  14. added 2018-06-08
    The Incoherence of Heuristically Explaining Coherence.Iris van Rooij & Cory Wright - 2006 - In Ron Sun (ed.), Proceedings of the 28th Annual Conference of the Cognitive Science Society. Mahwah, NJ 07430, USA: pp. 2622.
    Advancement in cognitive science depends, in part, on doing some occasional ‘theoretical housekeeping’. We highlight some conceptual confusions lurking in an important attempt at explaining the human capacity for rational or coherent thought: Thagard & Verbeurgt’s computational-level model of humans’ capacity for making reasonable and truth-conducive abductive inferences (1998; Thagard, 2000). Thagard & Verbeurgt’s model assumes that humans make such inferences by computing a coherence function (f_coh), which takes as input representation networks and their pair-wise constraints and gives as output (...)
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  15. added 2018-02-16
    Minds, Models, and Milieux: Commemorating the Centennial of the Birth of Herbert Simon.Roger Frantz & Leslie Marsh (eds.) - 2016 - Palgrave-Macmillan.
  16. added 2018-02-16
    Information and Computation: Essays on Scientific and Philosophical Understanding of Foundations of Information and Computation.Gordana Dodig Crnkovic & Mark Burgin (eds.) - 2011 - World Scientific.
    Information is a basic structure of the world, while computation is a process of the dynamic change of information. This book provides a cutting-edge view of world's leading authorities in fields where information and computation play a central role. It sketches the contours of the future landscape for the development of our understanding of information and computation, their mutual relationship and the role in cognition, informatics, biology, artificial intelligence, and information technology. -/- This book is an utterly enjoyable and engaging (...)
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  17. added 2018-01-11
    Towards the Emergence of Meaning Processes in Computers From Peircean Semiotics.Antônio Gomes, Ricardo Gudwin, Charbel Niño El-Hani & João Queiroz - 2007 - Mind and Society 6 (2):173-187.
    In this work, we propose a computational approach to the triadic model of Peircean semiosis (meaning processes). We investigate theoretical constraints about the feasibility of simulated semiosis. These constraints, which are basic requirements for the simulation of semiosis, refer to the synthesis of irreducible triadic relations (Sign–Object–Interpretant). We examine the internal organization of the triad S–O–I, that is, the relative position of its elements and how they relate to each other. We also suggest a multi-level approach based on self-organization principles. (...)
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  18. added 2018-01-11
    Thinking and Computing: Computers as Special Kinds of Signs.James Fetzer - 2001 - The Commens Encyclopedia: The Digital Encyclopedia of Peirce Studies.
    Cognitive science has been dominated by the computational conception that cogniton is computation across representations. To the extent to which cognition is supposed to be a purposive, meaningful, algorithmic, problem-solving activity, however, computers appear to be incapable of cognition. They are devices that can facilitate computations on the basis of semantic grounding relations as special kinds of signs. Even their algorithmic, problem-solving character arises from ther interpretation by human users. Strictly speaking, computers as such–apart from human users–are not only incapable (...)
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  19. added 2017-12-28
    The Realizers and Vehicles of Mental Representation.Zoe Drayson - 2018 - Studies in History and Philosophy of Science Part A 68:80-87.
    The neural vehicles of mental representation play an explanatory role in cognitive psychology that their realizers do not. In this paper, I argue that the individuation of realizers as vehicles of representation restricts the sorts of explanations in which they can participate. I illustrate this with reference to Rupert’s (2011) claim that representational vehicles can play an explanatory role in psychology in virtue of their quantity or proportion. I propose that such quantity-based explanatory claims can apply only to realizers and (...)
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  20. added 2017-11-04
    The False Dichotomy Between Causal Realization and Semantic Computation.Marcin Miłkowski - 2017 - Hybris. Internetowy Magazyn Filozoficzny 38:1-21.
    In this paper, I show how semantic factors constrain the understanding of the computational phenomena to be explained so that they help build better mechanistic models. In particular, understanding what cognitive systems may refer to is important in building better models of cognitive processes. For that purpose, a recent study of some phenomena in rats that are capable of ‘entertaining’ future paths (Pfeiffer and Foster 2013) is analyzed. The case shows that the mechanistic account of physical computation may be complemented (...)
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  21. added 2017-07-05
    Computation, Individuation, and the Received View on Representation.Mark Sprevak - 2010 - Studies in History and Philosophy of Science Part A 41 (3):260-270.
    The ‘received view’ about computation is that all computations must involve representational content. Egan and Piccinini argue against the received view. In this paper, I focus on Egan’s arguments, claiming that they fall short of establishing that computations do not involve representational content. I provide positive arguments explaining why computation has to involve representational content, and how that representational content may be of any type. I also argue that there is no need for computational psychology to be individualistic. Finally, I (...)
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  22. added 2017-05-14
    The Knowledge Level in Cognitive Architectures: Current Limitations and Possible Developments.Antonio Lieto, Christian Lebiere & Alessandro Oltramari - 2017 - Cognitive Systems Research:1-42.
    In this paper we identify and characterize an analysis of two problematic aspects affecting the representational level of cognitive architectures (CAs), namely: the limited size and the homogeneous typology of the encoded and processed knowledge. We argue that such aspects may constitute not only a technological problem that, in our opinion, should be addressed in order to build arti cial agents able to exhibit intelligent behaviours in general scenarios, but also an epistemological one, since they limit the plausibility of the (...)
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  23. added 2017-04-07
    Situatedness and Embodiment of Computational Systems.Marcin Miłkowski - 2017 - Entropy 19 (4):162.
    In this paper, the role of the environment and physical embodiment of computational systems for explanatory purposes will be analyzed. In particular, the focus will be on cognitive computational systems, understood in terms of mechanisms that manipulate semantic information. It will be argued that the role of the environment has long been appreciated, in particular in the work of Herbert A. Simon, which has inspired the mechanistic view on explanation. From Simon’s perspective, the embodied view on cognition seems natural but (...)
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  24. added 2017-03-06
    Subjective Probability as Sampling Propensity.Thomas Icard - 2016 - Review of Philosophy and Psychology 7 (4):863-903.
    Subjective probability plays an increasingly important role in many fields concerned with human cognition and behavior. Yet there have been significant criticisms of the idea that probabilities could actually be represented in the mind. This paper presents and elaborates a view of subjective probability as a kind of sampling propensity associated with internally represented generative models. The resulting view answers to some of the most well known criticisms of subjective probability, and is also supported by empirical work in neuroscience and (...)
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  25. added 2017-02-04
    Critics of Computationalism and semantic aspects of phenomenal consciousness.Baryshnikov Pavel - 2017 - Philosphical Probllems of IT and Cyberspace 12 (2):14-30.
    This article focuses on the methodological basis for the criticism of the computationalism and “computer metaphor” in the philosophy of cognitive sciences. We suppose that the computational paradigm is the direct consequence of the theoretical confusion of phenomenal and cognitive kinds of experience. Cognitive processes, considered as the forms of computational description, are available for computer modelling. That implies the strong position of the computer metaphor in the neuroscience. In our opinion the key problem is the vague ontological nature of (...)
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  26. added 2016-12-21
    Empirically Grounded Claims About Consciousness in Computers.David Gamez - 2012 - International Journal of Machine Consciousness 4 (2):421-438.
    Research is starting to identify correlations between consciousness and some of the spatiotemporal patterns in the physical brain. For theoretical and practical reasons, the results of experiments on the correlates of consciousness have ambiguous interpretations. At any point in time a number of hypotheses co-exist about and the correlates of consciousness in the brain, which are all compatible with the current experimental results. This paper argues that consciousness should be attributed to any system that exhibits spatiotemporal physical patterns that match (...)
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  27. added 2016-12-12
    Where is Cognitive Science Heading?Francisco Calvo Garzón & Ángel García Rodríguez - 2009 - Minds and Machines 19 (3):301-318.
    According to Ramsey (Representation reconsidered, Cambridge University Press, New York, 2007 ), only classical cognitive science, with the related notions of input–output and structural representations, meets the job description challenge (the challenge to show that a certain structure or process serves a representational role at the subpersonal level). By contrast, connectionism and other nonclassical models, insofar as they exploit receptor and tacit notions of representation, are not genuinely representational. As a result, Ramsey submits, cognitive science is taking a U-turn from (...)
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  28. added 2016-12-12
    Walter Pitts and “A Logical Calculus”.Mark Schlatter & Ken Aizawa - 2008 - Synthese 162 (2):235-250.
    Many years after the publication of “A Logical Calculus of the Ideas Immanent in Nervous Activity,” Warren McCulloch gave Walter Pitts credit for contributing his knowledge of modular mathematics to their joint project. In 1941 I presented my notions on the flow of information through ranks of neurons to Rashevsky’s seminar in the Committee on Mathematical Biology of the University of Chicago and met Walter Pitts, who then was about seventeen years old. He was working on a mathematical theory of (...)
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  29. added 2016-12-08
    Russell’s Structuralism and the Supposed Death of Computational Cognitive Science.Ricardo Restrepo Echavarria - 2009 - Minds and Machines 19 (2):181-197.
    John Searle believes that computational properties are purely formal and that consequently, computational properties are not intrinsic, empirically discoverable, nor causal; and therefore, that an entity’s having certain computational properties could not be sufficient for its having certain mental properties. To make his case, Searle’s employs an argument that had been used before him by Max Newman, against Russell’s structuralism; one that Russell himself considered fatal to his own position. This paper formulates a not-so-explored version of Searle’s problem with computational (...)
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  30. added 2016-12-08
    Reverse Psychologism, Cognition and Content.Dartnall Terry - 2000 - Minds and Machines 10 (1):31-52.
    The confusion between cognitive states and the content of cognitive states that gives rise to psychologism also gives rise to reverse psychologism. Weak reverse psychologism says that we can study cognitive states by studying content – for instance, that we can study the mind by studying linguistics or logic. This attitude is endemic in cognitive science and linguistic theory. Strong reverse psychologism says that we can generate cognitive states by giving computers representations that express the content of cognitive states and (...)
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  31. added 2016-09-23
    Dual PECCS: A Cognitive System for Conceptual Representation and Categorization.Antonio Lieto, Daniele Radicioni & Valentina Rho - 2017 - Journal of Experimental and Theoretical Artificial Intelligence 29 (2):433-452.
    In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks. It combines different sorts of common-sense categorization (prototypical and exemplars-based categorization) with standard monotonic categorization procedures. These different types of inferential procedures are reconciled according to the tenets coming from the dual process theory of reasoning. On the other hand, from a representational perspective, the system relies on the hypothesis of conceptual (...)
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  32. added 2016-05-05
    Ontologies, Disorders and Prototypes.Cristina Amoretti, Marcello Frixione, Antonio Lieto & Greta Adamo - 2016 - In Proceedings of IACAP 2016.
    As it emerged from philosophical analyses and cognitive research, most concepts exhibit typicality effects, and resist to the efforts of defining them in terms of necessary and sufficient conditions. This holds also in the case of many medical concepts. This is a problem for the design of computer science ontologies, since knowledge representation formalisms commonly adopted in this field (such as, in the first place, the Web Ontology Language - OWL) do not allow for the representation of concepts in terms (...)
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  33. added 2016-04-20
    You Can't Eat Causal Cake with an Abstract Fork: An Argument Against Computational Theories of Consciousness.Matthew Stuart Piper - 2012 - Journal of Consciousness Studies 19 (11-12):154-90.
    Two of the most important concepts in contemporary philosophy of mind are computation and consciousness. This paper explores whether there is a strong relationship between these concepts in the following sense: is a computational theory of consciousness possible? That is, is the right kind of computation sufficient for the instantiation of consciousness. In this paper, I argue that the abstract nature of computational processes precludes computations from instantiating the concrete properties constitutive of consciousness. If this is correct, then not only (...)
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  34. added 2016-03-11
    Communicating the Same Information to a Human and to a Machine: Is There a Difference in Principle?Vincent C. Müller - 2002 - In Konstantinos Boudouris & Takis Poulakos (eds.), Philosophy of communication: Proceedings of the 13th international conference on Greek philosophy (IAGP 13). Ionia. pp. 168-176.
    We try to show that there is no difference in principle between communicating a piece of information to a human and to a machine. The argumentation depends on the following theses: Communicating is transfer of information; information has propositional form; propositional form can be modelled as categorization; categorisation can be modelled in a machine; a suitably equipped machine can grasp propositional content designed for human communication. What I suggest is that the discussion should focus on the truth and precise meaning (...)
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  35. added 2016-03-09
    Objective Computation Versus Subjective Computation.Nir Fresco - 2015 - Erkenntnis 80 (5):1031-1053.
    The question ‘What is computation?’ might seem a trivial one to many, but this is far from being in consensus in philosophy of mind, cognitive science and even in physics. The lack of consensus leads to some interesting, yet contentious, claims, such as that cognition or even the universe is computational. Some have argued, though, that computation is a subjective phenomenon: whether or not a physical system is computational, and if so, which computation it performs, is entirely a matter of (...)
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  36. added 2016-02-08
    Intractability and the Use of Heuristics in Psychological Explanations.Iris Rooij, Cory Wright & Todd Wareham - 2012 - Synthese 187 (2):471-487.
  37. added 2016-01-06
    A Framework for the First‑Person Internal Sensation of Visual Perception in Mammals and a Comparable Circuitry for Olfactory Perception in Drosophila.Kunjumon Vadakkan - 2015 - Springerplus 4 (833):1-23.
    Perception is a first-person internal sensation induced within the nervous system at the time of arrival of sensory stimuli from objects in the environment. Lack of access to the first-person properties has limited viewing perception as an emergent property and it is currently being studied using third-person observed findings from various levels. One feasible approach to understand its mechanism is to build a hypothesis for the specific conditions and required circuit features of the nodal points where the mechanistic operation of (...)
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  38. added 2015-11-26
    Some Epistemological Problems with the Knowledge Level in Cognitive Architectures.Antonio Lieto - 2015 - In Proceedings of AISC 2015, 12th Italian Conference on Cognitive Science, Genoa, 10-12 December 2015, Italy. NeaScience.
    This article addresses an open problem in the area of cognitive systems and architectures: namely the problem of handling (in terms of processing and reasoning capabilities) complex knowledge structures that can be at least plausibly comparable, both in terms of size and of typology of the encoded information, to the knowledge that humans process daily for executing everyday activities. Handling a huge amount of knowledge, and selectively retrieve it according to the needs emerging in different situational scenarios, is an important (...)
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  39. added 2015-08-26
    Argument Diagramming in Logic, Artificial Intelligence, and Law.Chris Reed, Douglas Walton & Fabrizio Macagno - 2007 - Artificial Intelligence, and Law 22 (1):87-109.
  40. added 2015-06-20
    Embodied Functionalism and Inner Complexity: Simon’s 21st-Century Mind.Robert D. Rupert - 2016 - In R. Frantz and L. Marsh (ed.), Minds, Models, and Milieux: Commemorating the Centennial of the Birth of Herbert Simon. Basingstoke: Palgrave Macmillan. pp. 7–33.
    This chapter argues that Simon anticipated what has emerged as the consensus view about human cognition: embodied functionalism. According to embodied functionalism, cognitive processes appear at a distinctively cognitive level; types of cognitive processes (such as proving a theorem) are not identical to kinds of neural processes, because the former can take various physical forms in various individual thinkers. Nevertheless, the distinctive characteristics of such processes — their causal structures — are determined by fine-grained properties shared by various, often especially (...)
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  41. added 2015-05-29
    Definability by Turing Machines.R. M. Baer - 1969 - Mathematical Logic Quarterly 15 (20‐22):325-332.
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  42. added 2015-05-11
    The Turing Thesis Vs. The Turing Test.Georges Rey - 2012 - The Philosophers' Magazine 57 (57):84-89.
  43. added 2015-05-11
    An Appreciation of John Pollock's Work on the Computational Study of Argument.Henry Prakken & John Horty - 2012 - Argument and Computation 3 (1):1 - 19.
    John Pollock (1940?2009) was an influential American philosopher who made important contributions to various fields, including epistemology and cognitive science. In the last 25 years of his life, he also contributed to the computational study of defeasible reasoning and practical cognition in artificial intelligence. He developed one of the first formal systems for argumentation-based inference and he put many issues on the research agenda that are still relevant for the argumentation community today. This paper presents an appreciation of Pollock's work (...)
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  44. added 2015-05-11
    Knowledge Representation.Arthur B. Markman - 2002 - In J. Wixted & H. Pashler (eds.), Stevens' Handbook of Experimental Psychology. Wiley.
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  45. added 2015-05-11
    Aspects of Cognitive Representation.Fred Dretske - 1986 - In Myles Brand & Robert M. Harnish (eds.), The Representation of Knowledge and Belief. University of Arizona Press.
  46. added 2015-02-16
    Creative Cognition in Choreography.David Kirsh - 2011 - Proceedings of the 2nd International Conference on Computational Creativity:1-6.
    Contemporary choreography offers a window onto creative processes that rely on harnessing the power of sensory sys- tems. Dancers use their body as a thing to think with and their sensory systems as engines to simulate ideas non- propositionally. We report here on an initial analysis of data collected in a lengthy ethnographic study of the making of a dance by a major choreographer and show how translating between different sensory modalities can help dancers and choreographer to be more creative.
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  47. added 2015-02-16
    Consensus and Authenticity in Representation: Simulation as Participative Theatre. [REVIEW]Michael T. Black - 1993 - AI and Society 7 (1):40-51.
    Representation was invented as an issue during the 17th century in response to specific developments in the technology of simulation. It remains an issue of central importance today in the design of information systems and approaches to artificial intelligence. Our cultural legacy of thought about representation is enormous but as inhibiting as it is productive. The challenge to designers of representative technology is to reshape this legacy by enlarging the politics rather than the technics of simulation.
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  48. added 2014-11-10
    Twisted Tales: Causal Complexity and Cognitive Scientific Explanation. [REVIEW]Andy Clark - 1998 - Minds and Machines 8 (1):79-99.
    Recent work in biology and cognitive science depicts a variety of target phenomena as the products of a tangled web of causal influences. Such influences may include both internal and external factors as well as complex patterns of reciprocal causal interaction. Such twisted tales are sometimes seen as a threat to explanatory strategies that invoke notions such as inner programs, genes for and sometimes even internal representations. But the threat, I shall argue, is more apparent than real. Complex causal influence, (...)
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  49. added 2014-10-25
    A Computational Framework for Concept Representation in Cognitive Systems and Architectures: Concepts as Heterogeneous Proxytypes.Antonio Lieto - 2014 - Proceedings of 5th International Conference on Biologically Inspired Cognitive Architectures, Boston, MIT, Pocedia Computer Science, Elsevier:1-9.
    In this paper a possible general framework for the representation of concepts in cognitive artificial systems and cognitive architectures is proposed. The framework is inspired by the so called proxytype theory of concepts and combines it with the heterogeneity approach to concept representations, according to which concepts do not constitute a unitary phenomenon. The contribution of the paper is twofold: on one hand, it aims at providing a novel theoretical hypothesis for the debate about concepts in cognitive sciences by providing (...)
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  50. added 2014-07-07
    Representing Concepts in Formal Ontologies: Compositionality Vs. Typicality Effects".Marcello Frixione & Antonio Lieto - 2012 - Logic and Logical Philosophy 21 (4):391-414.
    The problem of concept representation is relevant for many sub-fields of cognitive research, including psychology and philosophy, as well as artificial intelligence. In particular, in recent years it has received a great deal of attention within the field of knowledge representation, due to its relevance for both knowledge engineering as well as ontology-based technologies. However, the notion of a concept itself turns out to be highly disputed and problematic. In our opinion, one of the causes of this state of affairs (...)
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