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  1. The Logical Foundations of Statistical Inference.Henry Ely Kyburg - 1974 - Dordrecht and Boston: Reidel.
    At least one of these conceptions of probability underlies any theory of statistical inference (or, to use Neyman's phrase, 'inductive behavior'). ...
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  • On the logic of theory change: Partial meet contraction and revision functions.Carlos E. Alchourrón, Peter Gärdenfors & David Makinson - 1985 - Journal of Symbolic Logic 50 (2):510-530.
    This paper extends earlier work by its authors on formal aspects of the processes of contracting a theory to eliminate a proposition and revising a theory to introduce a proposition. In the course of the earlier work, Gardenfors developed general postulates of a more or less equational nature for such processes, whilst Alchourron and Makinson studied the particular case of contraction functions that are maximal, in the sense of yielding a maximal subset of the theory (or alternatively, of one of (...)
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  • (1 other version)Computing machinery and intelligence.Alan M. Turing - 1950 - Mind 59 (October):433-60.
    I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...)
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  • Turing's rules for the imitation game.Gualtiero Piccinini - 2000 - Minds and Machines 10 (4):573-582.
    In the 1950s, Alan Turing proposed his influential test for machine intelligence, which involved a teletyped dialogue between a human player, a machine, and an interrogator. Two readings of Turing's rules for the test have been given. According to the standard reading of Turing's words, the goal of the interrogator was to discover which was the human being and which was the machine, while the goal of the machine was to be indistinguishable from a human being. According to the literal (...)
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  • (1 other version)Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • Why being dialogical must come before being logical: the need for a hermeneutical–dialogical approach to robotic activities.John Shotter - 2019 - AI and Society 34 (1):29-35.
    Currently, our official rationality is still of a Cartesian kind; we are still embedded in a mechanistic order that takes it that separate, countable entities (spatial forms), related logically to each other, are the only ‘things’ that matter to us—an order clearly suited to advances in robotics. Unfortunately, it is an order that renders invisible ‘relational things’, non-objective things that exist in time, in the transitions from one state of affairs to another, things that ‘point’ toward possibilities in the future, (...)
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  • The status and future of the Turing test.James H. Moor - 2001 - Minds and Machines 11 (1):77-93.
    The standard interpretation of the imitation game is defended over the rival gender interpretation though it is noted that Turing himself proposed several variations of his imitation game. The Turing test is then justified as an inductive test not as an operational definition as commonly suggested. Turing's famous prediction about his test being passed at the 70% level is disconfirmed by the results of the Loebner 2000 contest and the absence of any serious Turing test competitors from AI on the (...)
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  • An assumption-based TMS.Johan de Kleer - 1986 - Artificial Intelligence 28 (2):127-162.
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  • Turing’s Test: A Philosophical and Historical Guide.Diane Proudfoot & Jack Copeland - 2008 - In R. Epstein, G. Roberts & G. Beber (eds.), Parsing the Turing Test: Philosophical and Methodological Issues. Springer. pp. 119-138.
    We set the Turing Test in the historical context of the development of machine intelligence, describe the different forms of the test and its rationale, and counter common misinterpretations and objections. Recently published material by Turing casts fresh light on his thinking.
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  • The importance of a human viewpoint on computer natural language capabilities: a Turing test perspective.Kevin Warwick & Huma Shah - 2016 - AI and Society 31 (2):207-221.
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  • New Essays on Human Understanding.G. W. Leibniz - 1981 - Tijdschrift Voor Filosofie 45 (3):489-490.
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  • From Alan Turing to modern AI: practical solutions and an implicit epistemic stance.George F. Luger & Chayan Chakrabarti - 2017 - AI and Society 32 (3):321-338.
    It has been just over 100 years since the birth of Alan Turing and more than 65 years since he published in Mind his seminal paper, Computing Machinery and Intelligence. In the Mind paper, Turing asked a number of questions, including whether computers could ever be said to have the power of “thinking”. Turing also set up a number of criteria—including his imitation game—under which a human could judge whether a computer could be said to be “intelligent”. Turing’s paper, as (...)
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  • Is it possible to grow an I–Thou relation with an artificial agent? A dialogistic perspective.Stefan Trausan-Matu - 2019 - AI and Society 34 (1):9-17.
    The paper analyzes if it is possible to grow an I–Thou relation in the sense of Martin Buber with an artificial, conversational agent developed with Natural Language Processing techniques. The requirements for such an agent, the possible approaches for the implementation, and their limitations are discussed. The relation of the achievement of this goal with the Turing test is emphasized. Novel perspectives on the I–Thou and I–It relations are introduced according to the sociocultural paradigm and Mikhail Bakhtin’s dialogism, polyphony inter-animation, (...)
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  • Can automatic calculating machines be said to think?M. H. A. Newman, Alan M. Turing, Geoffrey Jefferson, R. B. Braithwaite & S. Shieber - 2004 - In Stuart M. Shieber (ed.), The Turing Test: Verbal Behavior as the Hallmark of Intelligence. MIT Press.
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  • The Logical Foundations of Statistical Inference.Henry E. Kyburg - 1977 - Synthese 36 (4):479-492.
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  • On our Best Behaviour.Hector J. Levesque - 2014 - Artificial Intelligence 213 (C):27-35.
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  • A model for belief revision.João P. Martins & Stuart C. Shapiro - 1988 - Artificial Intelligence 35 (1):25-79.
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