Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Adaptation and Learning in Automatic Systems
Adaptation and Learning in Automatic Systems
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The adaptive behavior line of investigation, which is considered as a bionic approach to development of systems of artificial intelligence, is characterized. One of the topical problems in the framework of this approach is the simulation of searching animal behavior. A general scheme of searching adaptive behavior with inertial switching between search tactics is presented. A particular model of searching behavior of larvae of caddis flies building a case-house from particles of different size and searching for gathering of suitable particles is investigated. The adequacy of the model to biological experimental data is shown, which is characterized by its specificity reflecting the memory data of larvae about both the sizes of last-processed particles and the general properties of the inertial switching.