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  1. Grounding the Vector Space of an Octopus: Word Meaning from Raw Text.Anders Søgaard - 2023 - Minds and Machines 33 (1):33-54.
    Most, if not all, philosophers agree that computers cannot learn what words refers to from raw text alone. While many attacked Searle’s Chinese Room thought experiment, no one seemed to question this most basic assumption. For how can computers learn something that is not in the data? Emily Bender and Alexander Koller ( 2020 ) recently presented a related thought experiment—the so-called Octopus thought experiment, which replaces the rule-based interlocutor of Searle’s thought experiment with a neural language model. The Octopus (...)
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  • When physical systems realize functions.Matthias Scheutz - 1999 - Minds and Machines 9 (2):161-196.
    After briefly discussing the relevance of the notions computation and implementation for cognitive science, I summarize some of the problems that have been found in their most common interpretations. In particular, I argue that standard notions of computation together with a state-to-state correspondence view of implementation cannot overcome difficulties posed by Putnam's Realization Theorem and that, therefore, a different approach to implementation is required. The notion realization of a function, developed out of physical theories, is then introduced as a replacement (...)
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  • Cognitivism and explanatory relativity.Jeffrey Hershfield - 1998 - Canadian Journal of Philosophy 28 (4):505-526.
    In much of his writing in the philosophy of mind, John Searle has been highly critical of what N. Block refers to as ‘The Computer Model of the Mind’ — the approach that treats the mind as a symbol-manipulating device akin in spirit, if not detail, to the modem computer. Searle refers to this philosophical approach as ‘cognitivism.’ The extent of his skepticism and animus toward the computer model of the mind is plainly apparent in the following quotation from Searle: (...)
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