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Imitation Programming Unorganised Machines

  • Larry BullEmail author
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Part of the Studies in Computational Intelligence book series (SCI, volume 427)

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.

Keywords

Particle Swarm Optimization Genetic Program Cellular Automaton Cellular Automaton Discrete Dynamical System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Springer-Verlag GmbH Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Computer Science & Creative TechnologiesUniversity of the West of EnglandBristolU.K

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