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    D.V.: Project animat brain: Designing the animat control system on the basis of the functional systems theory

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    Abstract. The paper describes the design of an animat control system (the Animat Brain) that is based of the Petr K. Anokhin's theory of functional systems. We propose the animat control system that consists of a set of functional systems (FSs) and enables predictive and purposeful behavior. Each FS consists of two neural networks: the Actor and the Model. The Actors are intended to form chains of actions and the Models are intended to predict futures events. There are primary and secondary repertoires of behaviors: the primary repertoire is formed by evolution; the secondary repertoire is formed by means of learning. The paper describes both principles of the Animat Brain operation and the particular model of predictive behavior in cellular landmark environment.
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