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Behavioral systems based on immunological networks


L. A. Stankevich, Jia Lu

Concepts and theoretical foundations of artificial immune systems are discussed. One of variant of the systems – immunological networks, which can be basis for behavioral systems able to learn and accumulate explicit knowledge for situation recognition and behavior selection are considered. The immunological networks are proposed to learn using special developed immune-genetic algorithm. These new means can provide ability of effectively control of object behavior in changing conditions of the environment. Example of the immunological network for control of technological unit is considered.

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