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  1. Quantum Linguistics and Searle's Chinese Room Argument.J. M. Bishop, S. J. Nasuto & B. Coecke - 2011 - In V. C. Muller (ed.), Philosophy and Theory of Artificial Intelligence. Springer. pp. 17-29.
    Viewed in the light of the remarkable performance of ‘Watson’ - IBMs proprietary artificial intelligence computer system capable of answering questions posed in natural language - on the US general knowledge quiz show ‘Jeopardy’, we review two experiments on formal systems - one in the domain of quantum physics, the other involving a pictographic languaging game - whereby behaviour seemingly characteristic of domain understanding is generated by the mere mechanical application of simple rules. By re-examining both experiments in the context (...)
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  2.  48
    Of (Zombie) Mice and Animats.S. J. Nasuto & J. M. Bishop - 2013 - In Philosophy and Theory of Artificial Intelligence. pp. 85-107.
    The Chinese Room Argument purports to show that‘ syntax is not sufficient for semantics’; an argument which led John Searle to conclude that ‘programs are not minds’ and hence that no computational device can ever exhibit true understanding. Yet, although this controversial argument has received a series of criticisms, it has withstood all attempts at decisive rebuttal so far. One of the classical responses to CRA has been based on equipping a purely computational device with a physical robot body. This (...)
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    HeX and the Single Anthill: Playing Games with Aunt Hillary.J. M. Bishop, S. J. Nasuto, T. Tanay, E. B. Roesch & M. C. Spencer - 2015 - In V. C. Muller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 367-389.
    In a reflective and richly entertaining piece from 1979, Doug Hofstadter playfully imagined a conversation between ‘Achilles’ and an anthill (the eponymous ‘Aunt Hillary’), in which he famously explored many ideas and themes related to cognition and consciousness. For Hofstadter, the anthill is able to carry on a conversation because the ants that compose it play roughly the same role that neurons play in human languaging; unfortunately, Hofstadter’s work is notably short on detail suggesting how this magic might be achieved1. (...)
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  4.  21
    Exploration of the Functional Properties of Interaction: Computer Models and Pointers for Theory.E. B. Roesch, M. Spencer, S. J. Nasuto, T. Tanay & J. M. Bishop - 2013 - Constructivist Foundations 9 (1):26-33.
    Context: Constructivist approaches to cognition have mostly been descriptive, and now face the challenge of specifying the mechanisms that may support the acquisition of knowledge. Departing from cognitivism, however, requires the development of a new functional framework that will support causal, powerful and goal-directed behavior in the context of the interaction between the organism and the environment. Problem: The properties affecting the computational power of this interaction are, however, unclear, and may include partial information from the environment, exploration, distributed processing (...)
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    Authors' Response: Learning, Anticipation and the Brain.E. B. Roesch, M. Spencer, S. J. Nasuto, T. Tanay & J. M. Bishop - 2013 - Constructivist Foundations 9 (1):42-45.
    Upshot: Albeit mostly supportive of our work, the commentaries we received highlighted a few points that deserve additional explanation, with regard to the notion of learning in our model, the relationship between our model and the brain, as well as the notion of anticipation. This open discussion emphasizes the need for toy computer models, to fuel theoretical discussion and prevent business-as-usual from getting in the way of new ideas.
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  6. Implementation of the Spiking Neuron Stochastic Diffusion Network on Parallel Hardware.T. Morey, K. De-Meyer, S. J. Nasuto & J. M. Bishop - 2000 - Consciousness and Cognition 9 (2):S97 - S98.
     
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  7. Philosophy and Theory of Artificial Intelligence.S. J. Nasuto & J. M. Bishop - 2013
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