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Invention, Intension and the Extension of the Computational Analogy

Greif, Hajo (2020) Invention, Intension and the Extension of the Computational Analogy. [Preprint]

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Abstract

This short philosophical discussion piece explores the relation between two common assumptions: first, that at least some cognitive abilities, such as inventiveness and intuition, are specifically human and, second, that there are principled limitations to what machine-based computation can accomplish in this respect. In contrast to apparent common wisdom, this relation may be one of informal association. The argument rests on the conceptual distinction between intensional and extensional equivalence in the philosophy of computing: Maintaining a principled difference between the processes involved in human cognition, including practices of computation, and machine computation will crucially depend on the requirement of intensional equivalence. However, this requirement was neither part of Turing's expressly extensionally defined analogy between human and machine computation, nor is it pertinent to the domain of computational modelling. Accordingly, the boundaries of the domains of human cognition and machine computation might be independently defined, distinct in extension and variable in relation.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Greif, Hajomail@hajo-greif.net0000-0002-1003-7494
Additional Information: his is a slightly revised and extended version of a conference submission for Computability in Europe 2020, currently under review. Posted by permission of the program committee.
Keywords: Computer models; Artificial Intelligence; Intensional vs extensional equivalence; Turing computability; Limits of computation
Subjects: Specific Sciences > Mathematics > Ontology
Specific Sciences > Computer Science
Depositing User: Dr. Hajo Greif
Date Deposited: 26 Feb 2020 00:38
Last Modified: 26 Feb 2020 00:38
Item ID: 16947
Subjects: Specific Sciences > Mathematics > Ontology
Specific Sciences > Computer Science
Date: 24 February 2020
URI: http://philsci-archive.pitt.edu/id/eprint/16947

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