Results for 'Turing Test'

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  1. Turing Test, Chinese Room Argument, Symbol Grounding Problem. Meanings in Artificial Agents (APA 2013).Christophe Menant - 2013 - American Philosophical Association Newsletter on Philosophy and Computers 13 (1):30-34.
    The Turing Test (TT), the Chinese Room Argument (CRA), and the Symbol Grounding Problem (SGP) are about the question “can machines think?” We propose to look at these approaches to Artificial Intelligence (AI) by showing that they all address the possibility for Artificial Agents (AAs) to generate meaningful information (meanings) as we humans do. The initial question about thinking machines is then reformulated into “can AAs generate meanings like humans do?” We correspondingly present the TT, the CRA and (...)
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  2.  21
    A Minimal Turing Test: Reciprocal Sensorimotor Contingencies for Interaction Detection.Pamela Barone, Manuel G. Bedia & Antoni Gomila - 2020 - Frontiers in Human Neuroscience 14.
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  3. On the Claim That a Table-Lookup Program Could Pass the Turing Test.Drew McDermott - 2014 - Minds and Machines 24 (2):143-188.
    The claim has often been made that passing the Turing Test would not be sufficient to prove that a computer program was intelligent because a trivial program could do it, namely, the “Humongous-Table (HT) Program”, which simply looks up in a table what to say next. This claim is examined in detail. Three ground rules are argued for: (1) That the HT program must be exhaustive, and not be based on some vaguely imagined set of tricks. (2) That (...)
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  4.  99
    Levels of Abstraction and the Turing Test.Luciano Floridi - 2010 - Kybernetes 39 (3):423-440.
    An important lesson that philosophy can learn from the Turing Test and computer science more generally concerns the careful use of the method of Levels of Abstraction (LoA). In this paper, the method is first briefly summarised. The constituents of the method are “observables”, collected together and moderated by predicates restraining their “behaviour”. The resulting collection of sets of observables is called a “gradient of abstractions” and it formalises the minimum consistency conditions that the chosen abstractions must satisfy. (...)
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  5.  11
    Computing Machinery and Sexual Difference: The Sexed Presuppositions Underlying the Turing Test.Amy Kind - forthcoming - In Jennifer McWeeny & Keya Maitra (eds.), Feminist Philosophy of Mind.
    In his 1950 paper “Computing Machinery and Intelligence,” Alan Turing proposed that we can determine whether a machine thinks by considering whether it can win at a simple imitation game. A neutral questioner communicates with two different systems – one a machine and a human being – without knowing which is which. If after some reasonable amount of time the machine is able to fool the questioner into identifying it as the human, the machine wins the game, and we (...)
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  6. Minimum Intelligent Signal Test as an Alternative to the Turing Test.Paweł Łupkowski & Patrycja Jurowska - 2019 - Diametros 59:35-47.
    The aim of this paper is to present and discuss the issue of the adequacy of the Minimum Intelligent Signal Test (MIST) as an alternative to the Turing Test. MIST has been proposed by Chris McKinstry as a better alternative to Turing’s original idea. Two of the main claims about MIST are that (1) MIST questions exploit commonsense knowledge and as a result are expected to be easy to answer for human beings and difficult for computer (...)
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  7.  70
    An Empathy Imitation Game: Empathy Turing Test for Care- and Chat-Bots.Jeremy Howick, Jessica Morley & Luciano Floridi - 2021 - Minds and Machines 31 (3):1–⁠5.
    AI, in the form of artificial carers, provides a possible solution to the problem of a growing elderly population Yet, concerns remain that artificial carers ( such as care-or chat-bots) could not emphathize with patients to the extent that humans can. Utilising the concept of empathy perception,we propose a Turing-type test that could check whether artificial carers could do many of the menial tasks human carers currently undertake, and in the process, free up more time for doctors to (...)
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  8. Davidson's No-Priority Thesis in Defending the Turing Test.Mohammad Reza Vaez Shahrestani - 2012 - Procedia - Social and Behavioral Sciences 32:456-461.
    Turing does not provide an explanation for substituting the original question of his test – i.e., “Can machines think?” with “Can a machine pass the imitation game?” – resulting in an argumentative gap in his main thesis. In this article, I argue that a positive answer to the second question would mean attributing the ability of linguistic interactions to machines; while a positive answer to the original question would mean attributing the ability of thinking to machines. In such (...)
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  9. Laws of Form and the Force of Function: Variations on the Turing Test.Hajo Greif - 2012 - In Vincent C. Müller & Aladdin Ayesh (eds.), Revisiting Turing and His Test: Comprehensiveness, Qualia, and the Real World. AISB. pp. 60-64.
    This paper commences from the critical observation that the Turing Test (TT) might not be best read as providing a definition or a genuine test of intelligence by proxy of a simulation of conversational behaviour. Firstly, the idea of a machine producing likenesses of this kind served a different purpose in Turing, namely providing a demonstrative simulation to elucidate the force and scope of his computational method, whose primary theoretical import lies within the realm of mathematics (...)
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  10. A Paradox Related to the Turing Test.Samuel Alexander - 2011 - The Reasoner 5 (6):90-90.
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  11. Revisiting Turing and His Test: Comprehensiveness, Qualia, and the Real World.Vincent C. Müller & Aladdin Ayesh (eds.) - 2012 - AISB.
    Proceedings of the papers presented at the Symposium on "Revisiting Turing and his Test: Comprehensiveness, Qualia, and the Real World" at the 2012 AISB and IACAP Symposium that was held in the Turing year 2012, 2–6 July at the University of Birmingham, UK. Ten papers. - http://www.pt-ai.org/turing-test --- Daniel Devatman Hromada: From Taxonomy of Turing Test-Consistent Scenarios Towards Attribution of Legal Status to Meta-modular Artificial Autonomous Agents - Michael Zillich: My Robot is Smarter (...)
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  12. El test de Turing: dos mitos, un dogma.Rodrigo González - 2007 - Revista de Filosofía 63:37-53.
    Este artículo analiza el Test de Turing, uno de los métodos más famosos y controvertidos para evaluar la existencia de vida mental en la Filosofía de la Mente, revelando dos mitos filosóficos comúnmente aceptados y criticando su dogma. En primer lugar, se muestra por qué Turing nunca propuso una definición de inteligencia. En segundo lugar, se refuta que el Test de Turing involucre condiciones necesarias o suficientes para la inteligencia. En tercer lugar, teniendo presente el (...)
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  13.  66
    Can Machines Be People? Reflections on the Turing Triage Test.Robert Sparrow - 2012 - In Patrick Lin, Keith Abney & George Bekey (eds.), Robot Ethics: The Ethical and Social Implications of Robotics. MIT Press. pp. 301-315.
    In, “The Turing Triage Test”, published in Ethics and Information Technology, I described a hypothetical scenario, modelled on the famous Turing Test for machine intelligence, which might serve as means of testing whether or not machines had achieved the moral standing of people. In this paper, I: (1) explain why the Turing Triage Test is of vital interest in the context of contemporary debates about the ethics of AI; (2) address some issues that complexify (...)
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  14.  53
    Turing’s Imitation Game: Still an Impossible Challenge for All Machines and Some Judges.Luciano Floridi, Mariarosaria Taddeo & Matteo Turilli - 2009 - Minds and Machines 19 (1):145–150.
    An Evaluation of the 2008 Loebner Contest.
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  15.  74
    Turing’s Imitation Game: Still an Impossible Challenge for All Machines and Some Judges––an Evaluation of the 2008 Loebner Contest. [REVIEW]Luciano Floridi & Mariarosaria Taddeo - 2009 - Minds and Machines 19 (1):145-150.
    An evaluation of the 2008 Loebner contest.
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  16. The Turing Guide.Jack Copeland, Jonathan Bowen, Robin Wilson & Mark Sprevak (eds.) - 2017 - Oxford: Oxford University Press.
    This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from (...)
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  17. Turing and the Evaluation of Intelligence.Francesco Bianchini - 2014 - Isonomia: Online Philosophical Journal of the University of Urbino:1-18.
    The article deals with some ideas by Turing concerning the background and the birth of the well-known Turing Test, showing the evolution of the main question proposed by Turing on thinking machine. The notions he used, especially that one of imitation, are not so much exactly defined and shaped, but for this very reason they have had a deep impact in artificial intelligence and cognitive science research from an epistemological point of view. Then, it is suggested (...)
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  18.  7
    Walking Through The Turing Wall.Albert Efimov - 2021 - IFAC Papers Online 54 (13):215-220.
    Can the machines that play board games or recognize images only in the comfort of the virtual world be intelligent? To become reliable and convenient assistants to humans, machines need to learn how to act and communicate in the physical reality, just like people do. The authors propose two novel ways of designing and building Artificial General Intelligence (AGI). The first one seeks to unify all participants at any instance of the Turing test – the judge, the machine, (...)
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  19. Post-Turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence.Albert Efimov - 2020 - Lecture Notes in Computer Science 12177.
    This article offers comprehensive criticism of the Turing test and develops quality criteria for new artificial general intelligence (AGI) assessment tests. It is shown that the prerequisites A. Turing drew upon when reducing personality and human consciousness to “suitable branches of thought” re-flected the engineering level of his time. In fact, the Turing “imitation game” employed only symbolic communication and ignored the physical world. This paper suggests that by restricting thinking ability to symbolic systems alone (...) unknowingly constructed “the wall” that excludes any possi-bility of transition from a complex observable phenomenon to an abstract image or concept. It is, therefore, sensible to factor in new requirements for AI (artificial intelligence) maturity assessment when approaching the Tu-ring test. Such AI must support all forms of communication with a human being, and it should be able to comprehend abstract images and specify con-cepts as well as participate in social practices. (shrink)
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  20.  36
    Walking Through the Turing Wall.Albert Efimov - forthcoming - In Teces.
    Can the machines that play board games or recognize images only in the comfort of the virtual world be intelligent? To become reliable and convenient assistants to humans, machines need to learn how to act and communicate in the physical reality, just like people do. The authors propose two novel ways of designing and building Artificial General Intelligence (AGI). The first one seeks to unify all participants at any instance of the Turing test – the judge, the machine, (...)
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  21. ¿Importa la Determinación Del Sexo En El Test de Turing?R. González - 2015 - Revista de Filosofia Aurora 27 (40):277-295.
    Según la versión estándar del juego de la imitación, la determinación del sexo de los participantes no desempeña ningún papel en el testeo de la inteligencia de máquina. Desafortunadamente, tal simplificación soslaya la teoría de la mente que fundamenta dicho juego. Teniendo en consideración este problema, en este ensayo argumento en contra de la simplificación del Test de Turing. En efecto, tal como sostengo, la determinación del sexo de los participantes no debe obviarse: la mente de una mujer (...)
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  22.  90
    The Turing Machine on the Dissecting Table.Jana Horáková - 2013 - Teorie Vědy / Theory of Science 35 (2):269-288.
    Since the beginning of the twenty-first century there has been an increasing awareness that software rep- resents a blind spot in new media theory. The growing interest in software also influences the argument in this paper, which sets out from the assumption that Alan M. Turing's concept of the universal machine, the first theoretical description of a computer program, is a kind of bachelor machine. Previous writings based on a similar hypothesis have focused either on a comparison of the (...)
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  23. Computers, Persons, and the Chinese Room. Part 2: Testing Computational Cognitive Science.Ricardo Restrepo - 2012 - Journal of Mind and Behavior 33 (3):123-140.
    This paper is a follow-up of the first part of the persons reply to the Chinese Room Argument. The first part claims that the mental properties of the person appearing in that argument are what matter to whether computational cognitive science is true. This paper tries to discern what those mental properties are by applying a series of hypothetical psychological and strengthened Turing tests to the person, and argues that the results support the thesis that the Man performing the (...)
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  24.  18
    Trois leçons philosophiques de Turing et la philosophie de l’information.Luciano Floridi, Paolo Quintili & Éric Guichard - 2015 - Rue Descartes 87 (4):157.
    Quand on se penche sur l’héritage philosophique de Turing, deux risques se posent. Le premier, c’est de le réduire à son test célèbre (Turing 1950). Ce qui a toutefois le mérite de la clarté. N’importe qui peut reconnaître la contribution en question et la situer dans le débat important sur la philosophie de l’intelligence artificielle. Le second risque est de le diluer dans un récit universel, faisant des idées deTuring les graines de tout ce que nous faisons (...)
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  25. Could a Machine Think? Alan M. Turing Vs. John R. Searle.Günther Mario - unknown
    “Could a machine think?” asks John R. Searle in his paper Minds, Brains, and Programs. He answers that “only a machine could think1, and only very special kinds of machines, namely brains.”2 The subject of this paper is the analysis of the aforementioned question through presentation of the symbol manipulation approach to intelligence and Searle's well-known criticism to this approach, namely the Chinese room argument. The examination of these issues leads to the systems reply of the Chinese room argument and (...)
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  26. Dos Criterios Para la Presencia de Estados Mentales: Descartes y Turing.Rodrigo González - 2016 - Cinta de Moebio 56:159-171.
    En este artículo examino dos criterios para la existencia de estados mentales, el de Descartes y el de Turing. Mientras que el primero plantea que las máquinas no pueden pensar en principio, el segundo defiende la inteligencia de máquina. Pese a esto, ambos parecen coincidir en que la decisión sobre la presencia de estados mentales es tomada por alguien que juzga internamente la misma. Si bien ello es esperable del racionalismo cartesiano, en el funcionalismo de Turing es sorprendente. (...)
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  27.  84
    Wolpert, Chaitin and Wittgenstein on Impossibility, Incompleteness, the Liar Paradox, Theism, the Limits of Computation, a Non-Quantum Mechanical Uncertainty Principle and the Universe as Computer—the Ultimate Theorem in Turing Machine Theory (Revised 2019).Michael Starks - 2019 - In Suicidal Utopian Delusions in the 21st Century -- Philosophy, Human Nature and the Collapse of Civilization -- Articles and Reviews 2006-2019 4th Edition Michael Starks. Las Vegas, NV USA: Reality Press. pp. 294-299.
    I have read many recent discussions of the limits of computation and the universe as computer, hoping to find some comments on the amazing work of polymath physicist and decision theorist David Wolpert but have not found a single citation and so I present this very brief summary. Wolpert proved some stunning impossibility or incompleteness theorems (1992 to 2008-see arxiv dot org) on the limits to inference (computation) that are so general they are independent of the device doing the computation, (...)
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  28. Wolpert, Chaitin and Wittgenstein on Impossibility, Incompleteness, the Limits of Computation, Theism and the Universe as Computer-the Ultimate Turing Theorem.Michael Starks - 2017 - Philosophy, Human Nature and the Collapse of Civilization Michael Starks 3rd Ed. (2017).
    I have read many recent discussions of the limits of computation and the universe as computer, hoping to find some comments on the amazing work of polymath physicist and decision theorist David Wolpert but have not found a single citation and so I present this very brief summary. Wolpert proved some stunning impossibility or incompleteness theorems (1992 to 2008-see arxiv.org) on the limits to inference (computation) that are so general they are independent of the device doing the computation, and even (...)
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  29.  35
    Wolpert, Chaitin e Wittgenstein em impossibilidade, incompletude, o paradoxo do mentiroso, o teísmo, os limites da computação, um princípio de incerteza mecânica não quântica e o universo como computador — o teorema final na teoria da máquina de Turing (revisado 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. 183-187.
    Eu li muitas discussões recentes sobre os limites da computação e do universo como computador, na esperança de encontrar alguns comentários sobre o trabalho surpreendente do físico polimatemático e teórico da decisão David Wolpert, mas não encontrei uma única citação e assim que eu apresento este muito breve Resumo. Wolpert provou alguma impossibilidade impressionante ou teoremas da incompletude (1992 a 2008-Veja arxiv dot org) nos limites à inferência (computação) que são tão gerais que são independentes do dispositivo que faz a (...)
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  30.  44
    Wolpert, Chaitin et Wittgenstein sur l’impossibilité, l’incomplétude, le paradoxe menteur, le théisme, les limites du calcul, un principe d’incertitude mécanique non quantique et l’univers comme ordinateur, le théorème ultime dans Turing Machine Theory (révisé 2019).Michael Richard Starks - 2020 - In Bienvenue en Enfer sur Terre : Bébés, Changement climatique, Bitcoin, Cartels, Chine, Démocratie, Diversité, Dysgénique, Égalité, Pirates informatiques, Droits de l'homme, Islam, Libéralisme, Prospérité, Le Web, Chaos, Famine, Maladie, Violence, Intellige. Las Vegas, NV , USA: Reality Press. pp. 185-189.
    J’ai lu de nombreuses discussions récentes sur les limites du calcul et de l’univers en tant qu’ordinateur, dans l’espoir de trouver quelques commentaires sur le travail étonnant du physicien polymathe et théoricien de la décision David Wolpert, mais n’ont pas trouvé une seule citation et je présente donc ce résumé très bref. Wolpert s’est avéré quelques théoricaux d’impossibilité ou d’incomplétude renversants (1992 à 2008-voir arxiv dot org) sur les limites de l’inférence (computation) qui sont si généraux qu’ils sont indépendants de (...)
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  31.  32
    Wolpert, Chaitin e Wittgenstein sull'impossibilità, l'incompletezza, il paradosso bugiardo, il teismo, i limiti del calcolo, un principio di incertezza meccanica non quantistica e l'universo come computer, il teorema finale della Teoria della Macchina di Turing (rivisto 2019).Michael Richard Starks - 2020 - In Benvenuti all'inferno sulla Terra: Bambini, Cambiamenti climatici, Bitcoin, Cartelli, Cina, Democrazia, Diversità, Disgenetica, Uguaglianza, Pirati Informatici, Diritti umani, Islam, Liberalismo, Prosperità, Web, Caos, Fame, Malattia, Violenza, Intellige. Las Vegas, NV, USA: Reality Press. pp. 177-181.
    Ho letto molte recenti discussioni sui limiti del calcolo e dell'universo come computer, sperando di trovare alcuni commenti sull'incredibile lavoro del fisico polimatematico e del teorista delle decisioni David Wolpert, ma non ho trovato una sola citazione e quindi presento questo brevissimo riassunto. Wolpert si dimostrò una straordinaria impossibilità o incompletezza teoremi (1992-2008-see arxiv dot org) sui limiti dell'inferenza (calcolo) che sono così generali che sono indipendenti dal dispositivo che fa il calcolo, e anche indipendenti dalle leggi della fisica, in (...)
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  32.  53
    Wolpert, Chaitin und Wittgenstein über Unmöglichkeit, Unvollständigkeit, das Lügner-Paradoxon, Theismus, die Grenzen der Berechnung, ein nicht-quantenmechanisches Unsicherheitsprinzip und das Universum als Computer – der ultimative Satz in Turing Machine Theory (überarbeitet 2019).Michael Richard Starks - 2020 - In Willkommen in der Hölle auf Erden: Babys, Klimawandel, Bitcoin, Kartelle, China, Demokratie, Vielfalt, Dysgenie, Gleichheit, Hacker, Menschenrechte, Islam, Liberalismus, Wohlstand, Internet, Chaos, Hunger, Krankheit, Gewalt, Künstliche Intelligenz, Krieg. Las Vegas, NV, USA: Reality Press. pp. 186-190.
    Ich habe viele kürzliche Diskussionen über die Grenzen der Berechnung und das Universum als Computer gelesen, in der Hoffnung, einige Kommentare über die erstaunliche Arbeit des Polymath Physikers und Entscheidungstheoretikers David Wolpert zu finden, aber habe kein einziges Zitat gefunden und so präsentiere ich diese sehr kurze Zusammenfassung. Wolpert bewies einige verblüffende Unmöglichkeit oder Unvollständigkeit Theoreme (1992 bis 2008-siehe arxiv dot org) über die Grenzen der Schlussfolgerung (Berechnung), die so allgemein sind, dass sie unabhängig von dem Gerät, das die Berechnung, (...)
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  33. Philosophy of Mind Is (in Part) Philosophy of Computer Science.Darren Abramson - 2011 - Minds and Machines 21 (2):203-219.
    In this paper I argue that whether or not a computer can be built that passes the Turing test is a central question in the philosophy of mind. Then I show that the possibility of building such a computer depends on open questions in the philosophy of computer science: the physical Church-Turing thesis and the extended Church-Turing thesis. I use the link between the issues identified in philosophy of mind and philosophy of computer science to respond (...)
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  34. The Imitation Game.John Mark Bishop - 2010 - Kybernetes 39 (3):398-402.
    This issue of the Kybernetes journal is concerned with the philosophical question- Can a Machine Think? Famously, in his 1950 paper `Computing Machinery andIntelligence' [9], the British mathematician Alan Turing suggested replacing this question - which he found \too meaningless to deserve discussion" - with a simple -behavioural - test based on an imagined `Victorianesque' pastime he entitled the`imitation game'. In this special issue of Kybernetes a selection of authors with a special interest in Turing's work (including (...)
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  35. The Mind as the Software of the Brain.Ned Block - 1995 - In Daniel N. Osherson, Lila Gleitman, Stephen M. Kosslyn, S. Smith & Saadya Sternberg (eds.), An Invitation to Cognitive Science, Second Edition, Volume 3. Cambridge MA: MIT Press. pp. 377-425.
    In this section, we will start with an influential attempt to define `intelligence', and then we will move to a consideration of how human intelligence is to be investigated on the machine model. The last part of the section will discuss the relation between the mental and the biological.
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  36. Introduction to a Systemic Theory of Meaning - March 2020 Update.Christophe Menant - manuscript
    Information and meaning are present everywhere around us and within ourselves. Specific studies have been implemented to link information and meaning (Linguistic, Biosemiotic, Psychology, Psychiatry, Cognition, Artificial Intelligence... ). No general coverage is available for the notion of meaning. We propose to complement this lack by a system approach to meaning generation in an evolutionary background. That short paper is a summary of the system approach where a Meaning Generator System (MGS) based on internal constraint satisfaction has been introduced. The (...)
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  37. Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics.Albert R. Efimov - 2019 - Philosophical Sciences 62 (7):73-95.
    The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the current article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics, and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic (...)
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  38. A Novel Approach for Identifying a Human-Like Self-Conscious Behavior.Gianpiero Negri - manuscript
    In this paper a possible extension of Turing test [1] will be presented, which is intended to overcome the limits highlighted by several researchers and scientists in the last seventy years. The main problem related to the execution in Turing test is substantially dealing with the trouble in identification of a human-like intelligence based on a pure evaluation of external behavior of a machine. In this work first of all a description of classical Turing (...) will be done. After that, some of the main exceptions or oppositions to the Turing test ability to detect “intelligent machines” will be presented. The Lovelace test will be presented as well, as possible alternative to Turing Test, and some considerations on its scope and effectiveness will be made. Furthermore, some references to Penrose and Hofstadter ideas will be recalled, highlighting the strongest troubles in defining and detecting a human-like intelligence, intended as “self-consciousness”. Finally, the new approach will be explained, introducing the new test intended to overcome the troubles highlighted on Turing test execution, based on a model of the self-consciousness obtained by means of the hypersets theory. An example will be presented as well, in order to clarify the proposed approach and its goal. (shrink)
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  39. On the Verisimilitude of Artificial Intelligence.Roger Vergauwen & Rodrigo González - 2005 - Logique Et Analyse- 190 (189):323-350.
    This paper investigates how the simulation of intelligence, an activity that has been considered the notional task of Artificial Intelligence, does not comprise its duplication. Briefly touching on the distinction between conceivability and possibility, and commenting on Ryan’s approach to fiction in terms of the interplay between possible worlds and her principle of minimal departure, we specify verisimilitude in Artificial Intelligence as the accurate resemblance of intelligence by its simulation and, from this characterization, claim the metaphysical impossibility of duplicating intelligence, (...)
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  40. Gods of Transhumanism.Alex V. Halapsis - 2019 - Anthropological Measurements of Philosophical Research 16:78-90.
    Purpose of the article is to identify the religious factor in the teaching of transhumanism, to determine its role in the ideology of this flow of thought and to identify the possible limits of technology interference in human nature. Theoretical basis. The methodological basis of the article is the idea of transhumanism. Originality. In the foreseeable future, robots will be able to pass the Turing test, become “electronic personalities” and gain political rights, although the question of the possibility (...)
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  41.  48
    Технологические предпосылки неразличимости человека и его компьютерной имитации.Albert Efimov - 2019 - Искусственные Общества 10.
    In the article, the author analyzes the problems of human-computer communication in the context of artificial intelligence, augmented reality and a Turing methodology for comparing the capabilities of artificial and natural intelligence in a dialogue. It is argued that the tool with which the computer and humans communicate is of no less importance than the computer program with which the dialogue is conducted. As an example of the implementation of such visualization, the project “E.LENA” of a digital television anchor (...)
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  42.  55
    How to Do Philosophy Informationally.Gian Maria Greco, Gianluca Paronitti, Matteo Turilli & Luciano Floridi - 2005 - Lecture Notes in Computer Science 3782:623–634.
    In this paper we introduce three methods to approach philosophical problems informationally: Minimalism, the Method of Abstraction and Constructionism. Minimalism considers the specifications of the starting problems and systems that are tractable for a philosophical analysis. The Method of Abstraction describes the process of making explicit the level of abstraction at which a system is observed and investigated. Constructionism provides a series of principles that the investigation of the problem must fulfil once it has been fully characterised by the previous (...)
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  43. Brain-Inspired Conscious Computing Architecture.Wlodzislaw Duch - 2005 - Journal of Mind and Behavior 26 (1-2):1-22.
    What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such systems, guided and limited by associative memory, is similar to the stream of consciousness. A specific architecture of an artificial system, termed articon, is introduced that by its very design has to claim being conscious. (...)
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  44. Πενήντα χρόνια τεχνητής νοημοσύνης: γιατί δεν επιτύχαμε ακόμα; [Fifty years of artificial intelligence: Why have we not succeeded yet?].Vincent C. Müller - 2006 - Cogito 4:48-49.
    1 Οι Αρχές - 2 Η δοκιμασία του Turing - 3 Η κλασική τεχνητή νοημοσύνη - 4 Η τεχνητή νοημοσύνη σήμερα - 5 Η τεχνητή νοημοσύνη του μέλλοντος - Με τις τεχνολογίες του παρόντος μάλλον θα δυσκολευτούμε να φτάσουμε στην κατασκευή μηχανών με τεχνητή νοημοσύνη. Κατά την γνώμη μου, θα δούμε άλλες τεχνικές λύσεις με την κλασική τεχνητή νοημοσύνη και μέθοδο «από κάτω προς τα πάνω», αλλά δεν περιμένω να υπάρξει ριζοσπαστική πρόοδος πριν μάθουμε πολλά παραπάνω για τον εγκέφαλό (...)
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  45.  22
    Levellism and the Method of Abstraction.Luciano Floridi & J. W. Sanders - 2004 - IEG Research Report.
    The use of "levels of abstraction" in philosophical analysis (levellism) has recently come under attack. In this paper, we argue that a refined version of epistemological levellism should be retained as a fundamental method, which we call the method of abstraction. After a brief introduction, in section two we make clear the nature and applicability of the (epistemological) method of levels of abstraction. In section three, we show the fruitfulness of the new method by applying it to five case studies: (...)
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  46. Experimental Methods for Unraveling the Mind-Body Problem: The Phenomenal Judgment Approach.Victor Argonov - 2014 - Journal of Mind and Behavior 35 (1-2):51-70.
    A rigorous approach to the study of the mind–body problem is suggested. Since humans are able to talk about consciousness (produce phenomenal judgments), it is argued that the study of neural mechanisms of phenomenal judgments can solve the hard problem of consciousness. Particular methods are suggested for: (1) verification and falsification of materialism; (2) verification and falsification of interactionism; (3) falsification of epiphenomenalism and parallelism (verification is problematic); (4) verification of particular materialistic theories of consciousness; (5) a non-Turing (...) for machine consciousness. A complex research program is constructed that includes studies of intelligent machines, numerical models of human and artificial creatures, language, neural correlates of con- sciousness, and quantum mechanisms in brain. (shrink)
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  47. MICHAEL POLANYI: CAN THE MIND BE REPRESENTED BY A MACHINE?Paul Richard Blum - 2010 - Polanyiana 19 (1-2):35-60.
    In 1949, the Department of Philosophy at the University of Manchester organized a symposium “Mind and Machine” with Michael Polanyi, the mathematicians Alan Turing and Max Newman, the neurologists Geoff rey Jeff erson and J. Z. Young, and others as participants. Th is event is known among Turing scholars, because it laid the seed for Turing’s famous paper on “Computing Machinery and Intelligence”, but it is scarcely documented. Here, the transcript of this event, together with Polanyi’s original (...)
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  48.  89
    Technological Prerequisites for Indistinguishability of a Person and His/Her Computer Replica.Albert Efimov - 2019 - Artificial Societies 4.
    Some people wrongly believe that A. Turing’s works that underlie all modern computer science never discussed “physical” robots. This is not so, since Turing did speak about such machines, though making a reservation that this discussion was still premature. In particular, in his 1948 report [8], he suggested that a physical intelligent machine equipped with motors, cameras and loudspeakers, when wandering through the fields of England, would present “the danger to the ordinary citizen would be serious.” [8, ]. (...)
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  49. Vindication of the Rights of Machine.Kris Rhodes - manuscript
    In this paper, I argue that certain Machines can have rights independently of whether they are sentient, or conscious, or whatever you might call it.
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  50.  16
    Beyond the Limits of Imagination: Abductive Inferences From Imagined Phenomena.Michael Traynor - 2021 - Synthese (Online First):1-23.
    The present paper proposes a route to modal claims that allows us to infer to certain possibilities even if they are sensorily unimaginable and beyond the evidential capacity of stipulative imagining. After a brief introduction, Sect. 2 discusses imaginative resistance to help carve a niche for the kinds of inferences about which this essay is chiefly concerned. Section 3 provides three classic examples, along with a discussion of their similarities and differences. Section 4 recasts the notion of potential explanation in (...)
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