%0 Book Section %1 Redko:2007ab %A Red’ko, Vladimir G. %A andMikhail S. Burtsev, Konstantin V. Anokhin %A Manolov, Alexander I. %A Mosalov, Oleg P. %A Nepomnyashchikh, Valentin A. %A Prokhorov, Danil V. %B Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior %D 2007 %E Butz, Martin V. %E Sigaud, Olivier %E Pezzulo, Giovanni %E Baldassarre, Gianluca %I Springer-Verlag %K Animat behavior, control evolution learning, predictive system, %T Project “Animat Brain”: Designing the Animat Control System on the Basis of the Functional Systems Theory %X 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.

@incollection{Redko:2007ab, 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.}, added-at = {2009-06-26T15:25:19.000+0200}, author = {Red’ko, Vladimir G. and andMikhail S. Burtsev, Konstantin V. Anokhin and Manolov, Alexander I. and Mosalov, Oleg P. and Nepomnyashchikh, Valentin A. and Prokhorov, Danil V.}, biburl = {https://www.bibsonomy.org/bibtex/20872ea71c0d9a107bf3825be05f178a1/butz}, booktitle = {Anticipatory Behavior in Adaptive Learning Systems: {F}rom Brains to Individual and Social Behavior}, description = {diverse cognitive systems bib}, editor = {Butz, Martin V. and Sigaud, Olivier and Pezzulo, Giovanni and Baldassarre, Gianluca}, interhash = {a385a4c46ef61a0286c4997b5a725688}, intrahash = {0872ea71c0d9a107bf3825be05f178a1}, keywords = {Animat behavior, control evolution learning, predictive system,}, owner = {butz}, publisher = {Springer-{V}erlag}, timestamp = {2009-06-26T15:25:51.000+0200}, title = {Project “Animat Brain”: {D}esigning the Animat Control System on the Basis of the Functional Systems Theory}, year = 2007 }