Fletcher, Samuel C. (2018) Computers in Abstraction/Representation Theory. Minds and Machines, 28 (3). pp. 445-463. ISSN 0924-6495
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Abstract
Recently, Horsman et al. (2014) have proposed a new framework, Abstraction/Representation (AR) theory, for understanding and evaluating claims about unconventional or non-standard computation. Among its attractive features, the theory in particular implies a novel account of what is means to be a computer. After expounding on this account, I compare it with other accounts of concrete computation, finding that it does not quite fit in the standard categorization: while it is most similar to some semantic accounts, it is not itself a semantic account. Then I evaluate it according to the six desiderata for accounts of concrete computation proposed by Piccinini (2015). Finding that it does not clearly satisfy some of them, I propose a modification, which I call Agential AR theory, that does, yielding an account that could be a serious competitor to other leading account of concrete computation.
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| Item Type: | Published Article or Volume | ||||||
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| Additional Information: | This is the postprint version: after final peer review but before copyediting. | ||||||
| Keywords: | Concrete computation, Physical computation, Computer, Pancomputationalism, Representation | ||||||
| Subjects: | Specific Sciences > Cognitive Science > Computation Specific Sciences > Computation/Information |
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| Depositing User: | Prof. Samuel C. Fletcher | ||||||
| Date Deposited: | 26 May 2020 22:25 | ||||||
| Last Modified: | 26 May 2020 22:25 | ||||||
| Item ID: | 17221 | ||||||
| Journal or Publication Title: | Minds and Machines | ||||||
| Publisher: | Springer | ||||||
| DOI or Unique Handle: | 10.1007/s11023-018-9470-9 | ||||||
| Subjects: | Specific Sciences > Cognitive Science > Computation Specific Sciences > Computation/Information |
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| Date: | 8 August 2018 | ||||||
| Page Range: | pp. 445-463 | ||||||
| Volume: | 28 | ||||||
| Number: | 3 | ||||||
| ISSN: | 0924-6495 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/17221 |
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