Phase transition networks: A modelling technique supporting the evolution of autonomous agents' tactical and operational activities
The purpose of this paper is to introduce a modelling technique which the authors are using to evolve autonomous agents' action plans by means of genetic programming operations. The technique is described and its application is illustrated through examples. A brief outline is given of a formal model construction methodology that has been developed to accompany the modelling technique. Finally, the features of the technique are reviewed. Particular note is made of its suitability for modelling a broad variety of artificial and natural systems for problem-solving and domain exploration by means of evolutionary computation.
KeywordsGenetic Programming Phase Transfer Autonomous Agent Traffic Light Blood Glucose Regulation
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