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  1. Thinking and computing: Computers as special kinds of signs. [REVIEW]James H. Fetzer - 1997 - Minds and Machines 7 (3):345-364.
    Cognitive science has been dominated by the computational conception that cognition is computation across representations. To the extent to which cognition as computation across representations 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 their interpretation by human users. Strictly speaking, computers as such — apart (...)
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  • 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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  • 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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