Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor
Toward turing’s A-type unorganised machines in an unconventional substrate: A dynamic representation in compartmentalised excitable chemical media
Bull, Larry; Holley, Julian; De Lacy Costello, Ben; Adamatzky, Andrew
Authors
Julian Holley
Benjamin De Lacy Costello Ben.DeLacyCostello@uwe.ac.uk
Associate Professor in Diagnostics and Bio-Sensing Technology
Andrew Adamatzky Andrew.Adamatzky@uwe.ac.uk
Professor
Abstract
© Springer-Verlag Berlin Heidelberg 2013. Turing presented a general representation scheme by which to achieve artificial intelligence – unorganised machines. Significantly, these were a form of discrete dynamical system and yet such representations remain relatively unexplored. Further, at the same time as also suggesting that natural evolution may provide inspiration for search mechanisms to design machines, he noted that mechanisms inspired by the social aspects of learning may prove useful. This paper presents initial results from consideration of using Turing’s dynamical representation within an unconventional substrate - networks of Belousov-Zhabotinsky vesicles - designed by an imitation-based, i.e., cultural, approach. Turing’s representation scheme is also extended to include a fuller set of Boolean functions at the nodes of the recurrent networks.
Citation
Bull, L., Holley, J., De Lacy Costello, B., & Adamatzky, A. (2013). Toward turing’s A-type unorganised machines in an unconventional substrate: A dynamic representation in compartmentalised excitable chemical media. . Springer. https://doi.org/10.1007/978-3-642-37225-4_11
Publication Date | Jan 1, 2013 |
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Journal | Studies in Applied Philosophy, Epistemology and Rational Ethics |
Print ISSN | 2192-6255 |
Electronic ISSN | 2192-6263 |
Peer Reviewed | Not Peer Reviewed |
Volume | 7 |
Pages | 185-199 |
DOI | https://doi.org/10.1007/978-3-642-37225-4_11 |
Keywords | emerging technologies, computer science, philosophy of mind, engineering, computational intelligence, artificial intelligence, robotics, theory of computation |
Public URL | https://uwe-repository.worktribe.com/output/935782 |
Publisher URL | http://www.springer.com/ |
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