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Imitation programming unorganised machines

Bull, Larry

Authors

Lawrence Bull Larry.Bull@uwe.ac.uk
AHOD Research and Scholarship and Prof



Contributors

Xin-She Yang
Editor

Abstract

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.

Publication Date Jan 1, 2013
Journal Artificial Intelligence, Evolutionary Computing and Metaheuristics
Peer Reviewed Peer Reviewed
Pages 63-81
Series Title Studies in Computational Intelligence
Series Number 427
Book Title Artificial Intelligence, Evolutionary Computing and Metaheuristics: in the Footsteps of Alan Turing
ISBN 9783642296949
APA6 Citation Bull, L. (2013). Imitation programming unorganised machines. In X. Yang (Ed.), Artificial Intelligence, Evolutionary Computing and Metaheuristics: in the Footsteps of Alan Turing, 63-81. Springer
Keywords imitation programming, unorganised machines, Turing, artificial intelligence, dynamical network
Publisher URL http://www.springer.com
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