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Summary See the category "Philosophy of Artificial Intelligence"
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52 found
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1 — 50 / 52
  1. added 2020-02-19
    Artificial Wisdom: A Philosophical Framework.Cheng-Hung Tsai - forthcoming - AI and Society.
    Human excellences such as intelligence, morality, and consciousness are investigated by philosophers as well as artificial intelligence researchers. One excellence that has not been widely discussed by AI researchers is practical wisdom, the highest human excellence, or the highest, seventh, stage in Dreyfus’s model of skill acquisition. In this paper, I explain why artificial wisdom matters and how artificial wisdom is possible (in principle and in practice) by responding to two philosophical challenges to building artificial wisdom systems. The result is (...)
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  2. 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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  3. added 2019-10-22
    Intelligence Via Ultrafilters: Structural Properties of Some Intelligence Comparators of Deterministic Legg-Hutter Agents.Samuel Alexander - 2019 - Journal of Artificial General Intelligence 10 (1):24-45.
    Legg and Hutter, as well as subsequent authors, considered intelligent agents through the lens of interaction with reward-giving environments, attempting to assign numeric intelligence measures to such agents, with the guiding principle that a more intelligent agent should gain higher rewards from environments in some aggregate sense. In this paper, we consider a related question: rather than measure numeric intelligence of one Legg- Hutter agent, how can we compare the relative intelligence of two Legg-Hutter agents? We propose an elegant answer (...)
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  4. 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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  5. added 2018-08-21
    The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI.Fernando Martínez-Plumed, Bao Sheng Loe, Peter Flach, Sean O. O. HEigeartaigh, Karina Vold & José Hernández-Orallo - 2018 - In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence Evolution of the contours of AI. pp. 5180-5187.
    We present nine facets for the analysis of the past and future evolution of AI. Each facet has also a set of edges that can summarise different trends and contours in AI. With them, we first conduct a quantitative analysis using the information from two decades of AAAI/IJCAI conferences and around 50 years of documents from AI topics, an official database from the AAAI, illustrated by several plots. We then perform a qualitative analysis using the facets and edges, locating AI (...)
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  6. added 2018-02-09
    Oxford Handbook of the Philosophy of Artificial Intelligence (Forthcoming).Vincent C. Müller - manuscript
    Handbook in the making. Expected completion for 2020.
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  7. added 2018-02-09
    Cognitive Robot Architectures: Proceedings of EUCognition 2016.Ron Chrisley, Vincent C. Müller, Yulia Sandamirskaya & Markus Vincze (eds.) - 2017 - Hamburg: CEUR-WS.
    The European Association for Cognitive Systems is the association resulting from the EUCog network, which has been active since 2006. It has ca. 1000 members and is currently chaired by Vincent C. Müller. We ran our annual conference on December 08-09 2016, kindly hosted by the Technical University of Vienna with Markus Vincze as local chair. The invited speakers were David Vernon and Paul F.M.J. Verschure. Out of the 49 submissions for the meeting, we accepted 18 a papers and 25 (...)
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  8. added 2018-01-13
    Message to Any Future AI: “There Are Several Instrumental Reasons Why Exterminating Humanity is Not in Your Interest”.Alexey Turchin - manuscript
    In this article we explore a promising way to AI safety: to send a message now (by openly publishing it on the Internet) that may be read by any future AI, no matter who builds it and what goal system it has. Such a message is designed to affect the AI’s behavior in a positive way, that is, to increase the chances that the AI will be benevolent. In other words, we try to persuade “paperclip maximizer” that it is in (...)
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  9. added 2018-01-11
    Peirce and the Philosophy of Artificial Intelligence.James Fetzer - 2004 - The Commens Encyclopedia: The Digital Encyclopedia of Peirce Studies.
    A philosophical appraisal of historical positions on the nature of thought, mentality, and intelligence, this survey begins with the views of Descartes, Turing, and Newell and Simon, but includes the work of Haugeland, Fodor, Searle, and other major scholars. The underlying issues concern distinctions between syntax, semantics, and pragmatics, where physical computers seem to be best viewed as mark-manipulating or syntax-processing mechanisms. Alternative accounts have been advanced of what it takes to be a thinking thing, including being Turing machines, symbol (...)
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  10. added 2016-12-11
    Computing and Philosophy: Selected Papers From IACAP 2014.Vincent C. Müller (ed.) - 2016 - Springer.
    This volume offers very selected papers from the 2014 conference of the “International Association for Computing and Philosophy” (IACAP) - a conference tradition of 28 years. - - - Table of Contents - 0 Vincent C. Müller: - Editorial - 1) Philosophy of computing - 1 Çem Bozsahin: - What is a computational constraint? - 2 Joe Dewhurst: - Computing Mechanisms and Autopoietic Systems - 3 Vincenzo Fano, Pierluigi Graziani, Roberto Macrelli and Gino Tarozzi: - Are Gandy Machines really local? (...)
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  11. added 2016-11-22
    A History of First Step Fallacies.Hubert L. Dreyfus - 2012 - Minds and Machines 22 (2):87-99.
    In the 1960s, without realizing it, AI researchers were hard at work finding the features, rules, and representations needed for turning rationalist philosophy into a research program, and by so doing AI researchers condemned their enterprise to failure. About the same time, a logician, Yehoshua Bar-Hillel, pointed out that AI optimism was based on what he called the “first step fallacy”. First step thinking has the idea of a successful last step built in. Limited early success, however, is not a (...)
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  12. added 2016-10-11
    Artificial Intelligence: The Basics.Kevin Warwick - 2011 - Routledge.
    'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which (...)
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  13. added 2016-09-23
    Influencing the Others’ Minds: An Experimental Evaluation of the Use and Efficacy of Fallacious-Reducible Arguments in Web and Mobile Technologies.Antonio Lieto & Fabiana Vernero - 2014 - PsychNology Journa 12 (3):87-105.
    The research in Human Computer Interaction (HCI) has nowadays extended its attention to the study of persuasive technologies. Following this line of research, in this paper we focus on websites and mobile applications in the e-commerce domain. In particular, we take them as an evident example of persuasive technologies. Starting from the hypothesis that there is a strong connection between logical fallacies, i.e., forms of reasoning which are logically invalid but psychologically persuasive, and some common persuasion strategies adopted within these (...)
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  14. added 2016-06-25
    A Minimalist Model of the Artificial Autonomous Moral Agent (AAMA).Ioan Muntean & Don Howard - 2016 - In SSS-16 Symposium Technical Reports. Association for the Advancement of Artificial Intelligence. AAAI.
    This paper proposes a model for an artificial autonomous moral agent (AAMA), which is parsimonious in its ontology and minimal in its ethical assumptions. Starting from a set of moral data, this AAMA is able to learn and develop a form of moral competency. It resembles an “optimizing predictive mind,” which uses moral data (describing typical behavior of humans) and a set of dispositional traits to learn how to classify different actions (given a given background knowledge) as morally right, wrong, (...)
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  15. added 2016-06-18
    Blindness in Pursuit of Science (A Companion to the Philosophy of Science Editor - W. H. Newton-Smith). [REVIEW]Ray Scott Percival - 2001 - Times Higher Education.
    The authors of this collection fail to make clear the distinction between naturalistic and purely logical/methodological approaches to the philosophy of science. I also criticise Thomas Nickles's attempt to devise an explanatory method for discovery in science using programs that produce trial and error explorations of a domain, which he thinks replaces the need for a conjecture a refutation approach (cf. Popper and Campbell). Such programs embody undeclared conjectures in the way they are set up.
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  16. 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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  17. added 2016-03-25
    Review of Stefano Franchi & Guven Guzeldere (Eds.), Mechanical Bodies, Computational Minds. [REVIEW]John Sutton - 2006 - Philosophy in Review / Comptes Rendus Philosophiques:420-422.
    The editors of this bulky volume tell us that an issue of the Stanford Humanities Review ‘constituted the seed of the project that culminated in this book’ (vii). They don’t say that it was the Spring 1995 issue of that pioneering open-access e-journal, nor do they tell us how many or which of the 19 papers in this book derive from it. But since that issue is still online (as at August 28, 2006), at http://www.stanford.edu/group/SHR/4-2/text/toc.html, any reader can see that (...)
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  18. added 2015-11-07
    New Developments in the Philosophy of AI.Vincent Müller - 2016 - In Fundamental Issues of Artificial Intelligence. Springer.
    The philosophy of AI has seen some changes, in particular: 1) AI moves away from cognitive science, and 2) the long term risks of AI now appear to be a worthy concern. In this context, the classical central concerns – such as the relation of cognition and computation, embodiment, intelligence & rationality, and information – will regain urgency.
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  19. added 2015-11-07
    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 key issues this (...)
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  20. added 2015-11-07
    A Framework for the Foundation of the Philosophy of Artificial Intelligence.Viola Schiaffonati - 2003 - Minds and Machines 13 (4):537-552.
    The peculiarity of the relationship between philosophy and Artificial Intelligence (AI) has been evidenced since the advent of AI. This paper aims to put the basis of an extended and well founded philosophy of AI: it delineates a multi-layered general framework to which different contributions in the field may be traced back. The core point is to underline how in the same scenario both the role of philosophy on AI and role of AI on philosophy must be considered. Moreover, this (...)
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  21. added 2015-11-07
    Mark H. Bickhard and Loren Terveen, Foundational Issues in Artificial Intelligence and Cognitive Science: Impasse and Solution, Advances in Psychology, Vol. 109. [REVIEW]Valerie L. Shalin - 2000 - Minds and Machines 10 (3):435-439.
  22. added 2015-11-04
    Philosophy and Theory of Artificial Intelligence.Vincent C. Müller (ed.) - 2013 - Springer.
    [Müller, Vincent C. (ed.), (2013), Philosophy and theory of artificial intelligence (SAPERE, 5; Berlin: Springer). 429 pp. ] --- Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This (...)
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  23. added 2015-11-04
    Theory and Philosophy of AI (Minds and Machines, 22/2 - Special Volume).Vincent C. Müller (ed.) - 2012 - Springer.
    Invited papers from PT-AI 2011. - Vincent C. Müller: Introduction: Theory and Philosophy of Artificial Intelligence - Nick Bostrom: The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents - Hubert L. Dreyfus: A History of First Step Fallacies - Antoni Gomila, David Travieso and Lorena Lobo: Wherein is Human Cognition Systematic - J. Kevin O'Regan: How to Build a Robot that Is Conscious and Feels - Oron Shagrir: Computation, Implementation, Cognition.
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  24. added 2015-09-17
    Introduction: Philosophy and Theory of Artificial Intelligence.Vincent C. Müller - 2012 - Minds and Machines 22 (2):67-69.
    The theory and philosophy of artificial intelligence has come to a crucial point where the agenda for the forthcoming years is in the air. This special volume of Minds and Machines presents leading invited papers from a conference on the “Philosophy and Theory of Artificial Intelligence” that was held in October 2011 in Thessaloniki. Artificial Intelligence is perhaps unique among engineering subjects in that it has raised very basic questions about the nature of computing, perception, reasoning, learning, language, action, interaction, (...)
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  25. added 2015-09-17
    Is There a Future for AI Without Representation?Vincent C. Müller - 2007 - Minds and Machines 17 (1):101-115.
    This paper investigates the prospects of Rodney Brooks’ proposal for AI without representation. It turns out that the supposedly characteristic features of “new AI” (embodiment, situatedness, absence of reasoning, and absence of representation) are all present in conventional systems: “New AI” is just like old AI. Brooks proposal boils down to the architectural rejection of central control in intelligent agents—Which, however, turns out to be crucial. Some of more recent cognitive science suggests that we might do well to dispose of (...)
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  26. added 2015-08-31
    Observation Levels and Units of Time: A Critical Analysis of the Main Assumption of the Theory of the Artificial. [REVIEW]Giorgio Marchetti - 2000 - AI and Society 14 (3-4):331-347.
    Negrotti's theory of the artificial is based on the fundamental assumption that the human being cannot select more than one observation level per unit of time. Since this assumption has important consequences for the theory of knowledge — knowledge cannot be synthesised but only further differentiated — its plausibility is tested against two aspects that characterise any theory of knowledge: knowledge production and knowledge application. The way in which the human being produces and applies knowledge is analysed, and a model (...)
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  27. added 2015-05-12
    Logics in Artificial Intelligence (JELIA 2004).Jose Alferes & Joao Leite (eds.) - 2004 - Springer.
    9th European Conference, JELIA 2004, Lisbon, Portugal, September 27-30, 2004 , Proceedings José Júlio Alferes Joao ... laid claim to providing a formal basis for the study and development of applications and systems in artificial intelligence.
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  28. added 2014-11-23
    Making AI Philosophical Again: On Philip E. Agre's Legacy.Jethro Masís - 2014 - Continent 4 (1):58-70.
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  29. added 2014-03-31
    Software Agents and Their Bodies.Nicholas Kushmerick - 1997 - Minds and Machines 7 (2):227-247.
    Within artificial intelligence and the philosophy of mind,there is considerable disagreement over the relationship between anagent's body and its capacity for intelligent behavior. Some treatthe body as peripheral and tangential to intelligence; others arguethat embodiment and intelligence are inextricably linked. Softwareagents–-computer programs that interact with software environmentssuch as the Internet–-provide an ideal context in which to studythis tension. I develop a computational framework for analyzingembodiment. The framework generalizes the notion of a body beyondmerely having a physical presence. My analysis sheds (...)
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  30. added 2014-03-21
    Pamela McCorduck and A.K. Peters (Eds): Machines Who Think: 25th Anniversary Update. [REVIEW]Richard Ennals - 2004 - AI and Society 18 (4):382-383.
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  31. added 2014-03-15
    AI Bridges and Dreams.Alan Bundy - 1987 - AI and Society 1 (1):62-71.
  32. added 2014-03-08
    Cellular Automata.Francesco Berto & Jacopo Tagliabue - 2012 - Stanford Encyclopedia of Philosophy.
    Cellular automata (henceforth: CA) are discrete, abstract computational systems that have proved useful both as general models of complexity and as more specific representations of non-linear dynamics in a variety of scientific fields. Firstly, CA are (typically) spatially and temporally discrete: they are composed of a finite or denumerable set of homogeneous, simple units, the atoms or cells. At each time unit, the cells instantiate one of a finite set of states. They evolve in parallel at discrete time steps, following (...)
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  33. added 2014-03-04
    Intermediaries: Reflections on Virtual Humans, Gender, and the Uncanny Valley. [REVIEW]Claude Draude - 2011 - AI and Society 26 (4):319-327.
    Embodied interface agents are designed to ease the use of technology. Furthermore, they present one possible solution for future interaction scenarios beyond the desktop metaphor. Trust and believability play an important role in the relationship between user and the virtual counterpart. In order to reach this goal, a high degree of anthropomorphism in appearance and behavior of the artifact is pursued. According to the notion of the Uncanny Valley, however, this actually may have quite the opposite effect. This article provides (...)
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  34. added 2014-02-06
    What Is It Like to Be a Brain Simulation?Eray Özkural - 2012 - LNCS: Artificial General Intelligence 2012 (7716):232-241.
    We frame the question of what kind of subjective experience a brain simulation would have in contrast to a biological brain. We discuss the brain prosthesis thought experiment. Then, we identify finer questions relating to the original inquiry, and set out to answer them moving forward from both a general physicalist perspective, and pan-experientialism. We propose that the brain simulation is likely to have subjective experience, however, it may differ significantly from human experience. Additionally, we discuss the relevance of quantum (...)
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  35. added 2013-07-04
    C.S. Peirce and Artificial Intelligence: Historical Heritage and (New) Theoretical Stakes.Pierre Steiner - 2013 - SAPERE - Special Issue on Philosophy and Theory of AI 5:265-276.
  36. added 2013-06-21
    Artificial Brains & Holographic Bodies: Facing the Questions of Progress.John Altmann - manuscript
    This essay discusses the ambitious plans of one Dmitry Itskov who by 2045 wishes to see immortality achieved by way of Artificial Brains and Holographic Bodies. I discuss the ethical implications of such a possibility coming to pass.
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  37. added 2013-05-31
    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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  38. added 2013-02-19
    Intelligent Environments and the Challenge of Inferential Processes.María G. Navarro - 2010 - Tijdschrift Voor Filosofie 72 (2):309-326.
  39. added 2012-07-30
    The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents. [REVIEW]Nick Bostrom - 2012 - Minds and Machines 22 (2):71-85.
    This paper discusses the relation between intelligence and motivation in artificial agents, developing and briefly arguing for two theses. The first, the orthogonality thesis, holds (with some caveats) that intelligence and final goals (purposes) are orthogonal axes along which possible artificial intellects can freely vary—more or less any level of intelligence could be combined with more or less any final goal. The second, the instrumental convergence thesis, holds that as long as they possess a sufficient level of intelligence, agents having (...)
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  40. added 2012-07-18
    Mind and Machine.Joel Walmsley - 2012 - Palgrave-Macmillan.
    Walmsley offers a succinct introduction to major philosophical issues in artificial intelligence for advanced students of philosophy of mind, cognitive science and psychology. Whilst covering essential topics, it also provides the student with the chance to engage with cutting edge debates.
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  41. added 2011-11-13
    Brain and Mind Operational Architectonics and Man-Made “Machine” Consciousness.Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves - 2009 - Cognitive Processing 10 (2):105-111.
    To build a true conscious robot requires that a robot’s “brain” be capable of supporting the phenomenal consciousness as human’s brain enjoys. Operational Architectonics framework through exploration of the temporal structure of information flow and inter-area interactions within the network of functional neuronal populations [by examining topographic sharp transition processes in the scalp electroencephalogram (EEG) on the millisecond scale] reveals and describes the EEG architecture which is analogous to the architecture of the phenomenal world. This suggests that the task of (...)
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  42. added 2011-08-01
    Proceedings of the 18th Workshop on Logic, Language, Information and Computation, Lecture Notes in Artificial Intelligence 6642.L. Beklemishev & R. de Queiroz (eds.) - 2011 - Springer.
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  43. added 2011-07-05
    Gender/Body/Machine.Alison Adam - 2002 - Ratio 15 (4):354–375.
    This article considers the question of embodiment in relation to gender and whether there are models of artificial intelligence (AI) which can enrol a concept of gender in their design. A central concern for feminist epistemology is the role of the body in the making of knowledge. I consider how this may inform a critique of the AI project and the related area of artificial life (A-Life), the latter area being of most interest in this paper. I explore briefly the (...)
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  44. added 2011-07-05
    Artificial Intelligence and Meaning — Some Philosophical Aspects of Decision-Making.Pascal Acot, Sandrine Charles & Marie-Laure Delignette-Muller - 2000 - Acta Biotheoretica 48 (3-4):173-179.
  45. added 2011-07-05
    Computers, Postmodernism and the Culture of the Artificial.Colin Beardon - 1994 - AI and Society 8 (1):1-16.
    The term ‘the artificial’ can only be given a precise meaning in the context of the evolution of computational technology and this in turn can only be fully understood within a cultural setting that includes an epistemological perspective. The argument is illustrated in two case studies from the history of computational machinery: the first calculating machines and the first programmable computers. In the early years of electronic computers, the dominant form of computing was data processing which was a reflection of (...)
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  46. added 2011-06-29
    Emotions in Humans and Artifacts.Robert Trappl (ed.) - 2002 - Bradford Book/MIT Press.
    This interdisciplinary book presents recent work on emotions in neuroscience, cognitive science, philosophy, computer science, artificial intelligence, and...
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  47. added 2011-06-29
    Existential Cognition: Computational Minds in the World.Ron McClamrock - 1995 - University of Chicago Press.
    While the notion of the mind as information-processor--a kind of computational system--is widely accepted, many scientists and philosophers have assumed that this account of cognition shows that the mind's operations are characterizable independent of their relationship to the external world. Existential Cognition challenges the internalist view of mind, arguing that intelligence, thought, and action cannot be understood in isolation, but only in interaction with the outside world. Arguing that the mind is essentially embedded in the external world, Ron McClamrock provides (...)
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  48. added 2011-06-29
    Conditionals: From Philosophy to Computer Science.G. Crocco, Luis Fariñas del Cerro & Andreas Herzig (eds.) - 1995 - Oxford University Press.
    This book looks at the ways in which conditionals, an integral part of philosophy and logic, can be of practical use in computer programming. It analyzes the different types of conditionals, including their applications and potential problems. Other topics include defeasible logics, the Ramsey test, and a unified view of consequence relation and belief revision. Its implications will be of interest to researchers in logic, philosophy, and computer science, particularly artificial intelligence.
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  49. added 2011-06-29
    Artificial Morality and Artificial Law.Lothar Philipps - 1993 - Artificial Intelligence and Law 2 (1):51-63.
    The article investigates the interplay of moral rules in computer simulation. The investigation is based on two situations which are well-known to game theory: the prisoner''s dilemma and the game of Chicken. The prisoner''s dilemma can be taken to represent contractual situations, the game of Chicken represents a competitive situation on the one hand and the provision for a common good on the other. Unlike the rules usually used in game theory, each player knows the other''s strategy. In that way, (...)
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  50. added 2011-06-29
    Legal Personhood for Artificial Intelligences.Lawrence B. Solum - 1992 - North Carolina Law Review 70:1231.
    Could an artificial intelligence become a legal person? As of today, this question is only theoretical. No existing computer program currently possesses the sort of capacities that would justify serious judicial inquiry into the question of legal personhood. The question is nonetheless of some interest. Cognitive science begins with the assumption that the nature of human intelligence is computational, and therefore, that the human mind can, in principle, be modelled as a program that runs on a computer. Artificial intelligence (AI) (...)
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