A theory of computational implementation.

I articulate and defend a new theory of what it is for a physical system to implement an abstract computational model. According to my descriptivist theory, a physical system implements a computational model just in case the model accurately describes the system. Specifically, the system must reliab...

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Detalles Bibliográficos
Publicado en:Synthese Vol. 191; no. 6; pp. 1277 - 1308
Autor principal: Rescorla, Michael
Formato: Artículo
Publicado: Springer Nature Apr2014
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: Rescorla, Michael
        affil: Department of Philosophy, University of California, Santa Barbara, Santa Barbara 93106 USA
      su:
        Computational learning theory
        Accuracy
        Representation (Philosophy)
        Philosophy
        Causal logic
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          Computational learning theory
          Accuracy
          Representation (Philosophy)
          Philosophy
          Causal logic
      keyword:
        Computational implementation
        Physical computation
        Physical realization
        Representation
        Triviality arguments
      ab: I articulate and defend a new theory of what it is for a physical system to implement an abstract computational model. According to my descriptivist theory, a physical system implements a computational model just in case the model accurately describes the system. Specifically, the system must reliably transit between computational states in accord with mechanical instructions encoded by the model. I contrast my theory with an influential approach to computational implementation espoused by Chalmers, Putnam, and others. I deploy my theory to illuminate the relation between computation and representation. I also rebut arguments, propounded by Putnam and Searle, that computational implementation is trivial.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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