UDC 681.3
EVOLUTIONARY METHOD OF CONSTRUCTING ARTIFICIAL INTELLIGENCE SYSTEMS
Abstract. The paper describes an evolutionary model for artificial intelligence construction, designed for the development of intelligent systems. It allows describing a variety of subject areas with the construction of knowledge bases. The model has universal means for formal description of tasks, as well as environment for implementing computational processes of their solution. The key element of the proposed model is a so-called ALF, which is an intelligent agent with the ability of learning, communication, self-organization, and joint action with other agents. The development of ALF agents is based on evolutionary principles implemented with the use of genetic algorithms. The implementation of the proposed approach was performed as a game model. A considerable flexibility and efficiency of the model demonstrated in the experiments are due to the unique structure and functionality of ALF agents.
Keywords: artificial intelligence, multi-agent systems, evolutionary programming.
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Vol. 92 (23). P. 10742-10746. DOI: https://doi.org/10.1073/pnas.92.23.10742
