Imitation programming unorganised machines

Bull, L. (2013) Imitation programming unorganised machines. In: Yang, X.-S., ed. (2013) Artificial Intelligence, Evolutionary Computing and Metaheuristics: in the Footsteps of Alan Turing. Springer, pp. 63-81. ISBN 9783642296949 Available from: http://eprints.uwe.ac.uk/20741

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Publisher's URL: http://www.springer.com

Abstract/Description

In 1948 Alan Turing presented a general representation scheme by which to achieve artificial intelligence – his unorganised machines. Further, at the same time as also suggesting that natural evolution may provide inspiration for search, he noted that mechanisms inspired by the cultural aspects of learning may prove useful. This chapter presents results from an investigation into using Turing’s dynamical network representation designed by a new imitation-based, i.e., cultural, approach. Moreover, the original synchronous and an asynchronous form of unorganised machines are considered, along with their implementation in memristive hardware.

Item Type:Book Section
Uncontrolled Keywords:imitation programming, unorganised machines, Turing, artificial intelligence, dynamical network
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:20741
Deposited By: M. Clarke
Deposited On:12 Jul 2013 14:41
Last Modified:15 Nov 2016 22:20

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