Agent Populations as Computational Intelligence
The paper deals with agent-based architectures of hybrid soft-computing systems, which should exhibit intelligent behaviour at a population level. Three levels of complexity of such systems are distinguished together with their potential advantages. The considerations are illustrated by prototypical realisations of evolutionary multi-agent systems dedicated to multiobjective optimisation, data classification, and time-series prediction.
KeywordsMultiobjective Optimisation Soft Computing Pareto Frontier Soft Computing Technique Intelligent Behaviour
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