Incollection,
Project Animat Brain: Designing the Animat Control System on the Basis of the Functional Systems Theory
Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, Springer-Verlag, (2007)
Abstract
The paper proposes the framework for an animat control system (the
Animat Brain) that is based on 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 predictor. The
actors are
intended to form chains of actions and the predictors are intended
to make
prognoses of future 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.
