Evolved Computing Devices and the Implementation Problem

Minds and Machines 17 (3):311-329 (2007)
  Copy   BIBTEX

Abstract

The evolutionary circuit design is an approach allowing engineers to realize computational devices. The evolved computational devices represent a distinctive class of devices that exhibits a specific combination of properties, not visible and studied in the scope of all computational devices up till now. Devices that belong to this class show the required behavior; however, in general, we do not understand how and why they perform the required computation. The reason is that the evolution can utilize, in addition to the “understandable composition of elementary components”, material-dependent constructions and properties of environment (such as temperature, electromagnetic field etc.) and, furthermore, unknown physical behaviors to establish the required functionality. Therefore, nothing is known about the mapping between an abstract computational model and its physical implementation. The standard notion of computation and implementation developed in computer science as well as in cognitive science has become very problematic with the existence of evolved computational devices. According to the common understanding, the evolved devices cannot be classified as computing mechanisms

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,410

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Semantics of Information as Interactive Computation.Gordana Dodig-Crnkovic - 2008 - Proceedings of the Fifth International Workshop on Philosophy and Informatics 2008.
Quantum learning.Ronald Chrisley - 1995 - In P. Pyllkkänen & P. Pyllkkö (eds.), New Directions in Cognitive Science. Finnish Society for Artificial Intelligence.
Enzymatic computation and cognitive modularity.H. Clark Barrett - 2005 - Mind and Language 20 (3):259-87.
Against Structuralist Theories of Computational Implementation.Michael Rescorla - 2013 - British Journal for the Philosophy of Science 64 (4):681-707.
When physical systems realize functions.Matthias Scheutz - 1999 - Minds and Machines 9 (2):161-196.
Computational vs. causal complexity.Matthias Scheutz - 2001 - Minds and Machines 11 (4):543-566.

Analytics

Added to PP
2009-01-28

Downloads
128 (#143,664)

6 months
13 (#203,334)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

Can Machines Think? An Old Question Reformulated.Achim Hoffmann - 2010 - Minds and Machines 20 (2):203-212.

Add more citations

References found in this work

On Computable Numbers, with an Application to the Entscheidungsproblem.Alan Turing - 1936 - Proceedings of the London Mathematical Society 42 (1):230-265.
Is the brain a digital computer?John R. Searle - 1990 - Proceedings and Addresses of the American Philosophical Association 64 (3):21-37.
What is computation?B. Jack Copeland - 1996 - Synthese 108 (3):335-59.
When physical systems realize functions.Matthias Scheutz - 1999 - Minds and Machines 9 (2):161-196.
Beyond the universal Turing machine.B. Jack Copeland & Richard Sylvan - 1999 - Australasian Journal of Philosophy 77 (1):46-66.

View all 14 references / Add more references