David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
Minds and Machines 9 (2):161-196 (1999)
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 for the notional pair computation-implementation. After gradual refinement, taking practical constraints into account, this notion gives rise to the notion digital system which singles out physical systems that could be actually used, and possibly even built
|Keywords||Artificial Intelligence Computation Computer Physical Science|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Gualtiero Piccinini (2008). Computation Without Representation. Philosophical Studies 137 (2):205-241.
Gualtiero Piccinini (2007). Computing Mechanisms. Philosophy of Science 74 (4):501-526.
Thomas W. Polger (2007). Realization and the Metaphysics of Mind. Australasian Journal of Philosophy 85 (2):233 – 259.
Gualtiero Piccinini (2004). Functionalism, Computationalism, & Mental States. Studies in the History and Philosophy of Science 35 (4):811-833.
Nir Fresco (2010). Explaining Computation Without Semantics: Keeping It Simple. [REVIEW] Minds and Machines 20 (2):165-181.
Similar books and articles
Selmer Bringsjord (2001). In Computation, Parallel is Nothing, Physical Everything. Minds and Machines 11 (1):95-99.
David J. Chalmers (1996). Does a Rock Implement Every Finite-State Automaton? Synthese 108 (3):309-33.
David J. Chalmers (2011). A Computational Foundation for the Study of Cognition. Journal of Cognitive Science 12 (4):323-357.
Ronald L. Chrisley (1994). Why Everything Doesn't Realize Every Computation. Minds and Machines 4 (4):403-20.
Lukáš Sekanina (2007). Evolved Computing Devices and the Implementation Problem. Minds and Machines 17 (3):311-329.
Marcin Miłkowski (2012). Is Computation Based on Interpretation? Semiotica 188 (1):219-228.
Matthias Scheutz (2001). Computational Vs. Causal Complexity. Minds and Machines 11 (4):543-566.
Nir Fresco (2011). Concrete Digital Computation: What Does It Take for a Physical System to Compute? [REVIEW] Journal of Logic, Language and Information 20 (4):513-537.
David J. Chalmers (1994). On Implementing a Computation. Minds and Machines 4 (4):391-402.
Added to index2009-01-28
Total downloads77 ( #59,416 of 1,938,950 )
Recent downloads (6 months)3 ( #218,490 of 1,938,950 )
How can I increase my downloads?