Abstract
An evolutionary model of constructing artificial intelligence is presented, which is destined for designing and developing intelligent systems. The model allows describing a variety of subject areas with constructing knowledge bases. It has universal means to formally describe tasks and environments for implementing computational processes to solve them. The key basic element of the proposed model is the so-called ALF, i.e., an intelligent agent with the abilities to self-learning, communication, self-organization, and joint actions with similar agents. The development of ALF agents is based on evolutionary principles implemented using genetic algorithms. The proposed approach is implemented in the form of a game model. The developed structure and functionality of ALF agents stipulate the flexibility and efficiency of the model, which is confirmed by experiments.
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Translated from Kibernetika i Sistemnyi Analiz, No. 1, January–February, 2019, pp. 3–13.
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Anisimov, A.V., Marchenko, O.O. & Zemlianskyi, V.R. Evolutionary Method of Constructing Artificial Intelligence Systems. Cybern Syst Anal 55, 1–9 (2019). https://doi.org/10.1007/s10559-019-00106-x
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DOI: https://doi.org/10.1007/s10559-019-00106-x