Production system rules as protein complexes from genetic regulatory networks: an initial study

Bull, L. (2012) Production system rules as protein complexes from genetic regulatory networks: an initial study. Evolutionary Intelligence, 5 (2). pp. 59-67. ISSN 1864-5909 Available from: http://eprints.uwe.ac.uk/20737

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Abstract/Description

This short paper introduces a new way by which to design production system rules. An indirect encoding scheme is presented which views such rules as protein complexes produced by the temporal behaviour of an artificial genetic regulatory network. This initial study begins by using a simple Boolean regulatory network to produce traditional ternary-encoded rules before moving to a fuzzy variant to produce real-valued rules. Competitive performance is shown with related genetic regulatory networks and rule-based systems on benchmark problems.

Item Type:Article
Uncontrolled Keywords:applied mathematics, computational methods of engineering, imitation, statistical physics, dynamical systems and complexity, rule-based systems, artificial intelligence, robotocs, computer science
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:20737
Deposited By: M. Clarke
Deposited On:12 Jul 2013 13:47
Last Modified:15 Nov 2016 22:20

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