Abstract
The problem of constructing evolving multi-agent systems based on the principles of evolutionary design and hybrid models are discussed. The principles of construction and organization of multi-agent systems are considered. The concept of an agent and a set of basic properties that an agent should possess are given. An analogy between the basic definitions of agent theory and evolution theory is noted. The use of basic evolutionary models and algorithms for the design of multi-agent systems is proposed. The analysis of existing methods and methodologies for the design of agents and multi-agent systems is carried out. The existing differences in approaches to the design of multi-agent systems are noted. The main types of models are described and their most important characteristics are given. The importance and prospects of using an agent-based approach to the design of multi-agent systems are noted. Various approaches to the evolutionary design of artificial systems are considered. The evolutionary model of the formation of agents and agencies is described. The use of modified evolutionary operators to implement the agent design process is proposed.
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This research is supported by the Russian Foundation for Basic Research, Projects No. 19-01-00715.
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Gladkov, L.A., Gladkova, N.V., Gromov, S.A. (2021). Construction of Evolving Multi-Agent Systems Based on the Principles of Evolutionary Design. In: Radionov, A.A., Gasiyarov, V.R. (eds) Advances in Automation II. RusAutoCon 2020. Lecture Notes in Electrical Engineering, vol 729. Springer, Cham. https://doi.org/10.1007/978-3-030-71119-1_20
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