Tomlinson, A. and Bull, L.
Symbiogenesis in learning classifier systems.
Artificial Life, 7 (1).
- Published Version
Publisher's URL: http://dx.doi.org/10.1162/106454601300328016
|Additional Information:||The class of problems which require the memory of previous inputs or actions - non-Markov problems - remain amongst the most difficiult for machine learning techniques. This paper describes how an evolutionary computing mechanism based on the hypothesised process leading to the evolution of eukaryotic cells from simpler organisms enables the solution of such problems for reinforcement learning. The research was undertaken as part of an EPSRC project (GR/R067848/01) exploring the use of Learning Classifier Systems for distributed road traffic junction control - a task in which memory is potentially useful.|
|Uncontrolled Keywords:||animat, cooperation, evolution, genetic linkage, symbiosis|
|Faculty/Department:||Faculty of Environment and Technology|
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|Deposited On:||22 Jan 2010 15:10|
|Last Modified:||29 May 2014 06:52|
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