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    Ontology-based and Evolutionary Search for Computational Agents Schemes

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    This work deals with a problem of automatic composition of multi-agent system satisfying given constraints. A general concept of representation of connected groups of agents (schemes) within a multi-agent system is introduced and utilized for automatic building of schemes to solve a given computational intelligence task. We propose a combination of an evolutionary algorithm and a formal logic resolution system which is able to propose and verify new schemes. The approach is illustrated on simple examples.
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