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Biologically Inspired Cognitive Architectures 2011 : Proceedings of the Second Annual Meeting of the BICA Society /

This book presents the proceedings of the Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2011, which is also the Second Annual Meeting of the BICA Society, held in November 2011 in Arlington, Virginia, USA. A Biologically Inspired Cognitive Architecture (BICA)...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores Corporativos: BICA Society. Annual Meeting, IOS Press
Otros Autores: Samsonovich, Alexei V., Jóhannsdóttir, Kamilla R.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Washington, D.C. : IOS Press, ©2011.
Colección:Frontiers in artificial intelligence and applications ; v. 233.
Temas:
Acceso en línea:Texto completo

MARC

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490 1 |a Frontiers in artificial intelligence and applications ;  |v v. 233 
500 |a International conference proceedings. 
500 |a Includes index. 
520 |a This book presents the proceedings of the Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2011, which is also the Second Annual Meeting of the BICA Society, held in November 2011 in Arlington, Virginia, USA. A Biologically Inspired Cognitive Architecture (BICA) is a computational framework for the design of intelligent agents that incorporates formal mechanisms of human or animal cognition. Biology currently provides the only physical examples of cognitive systems at the level of robustness, flexibility, scalability and consciousness that artificial intel. 
505 0 |a Title Page; Preface; BICA 2011 Conference Committees; Contents; Conference Papers and Extended Abstracts; Biologically Inspired Cognitive Architectures: One More Step Forward; Evaluating the Contribution of Top-Down Feedback and Post-Learning Reconstruction; Computational Modeling of Therapies Related to Cognitive Vulnerability and Coping; Natural Human Robot Meta-Communication Through the Integration of Android's Sensors with Environment Embedded Sensors; Towards a Biologically-Inspired Model for Relational Mapping Using Spiking Neurons. 
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700 1 |a Samsonovich, Alexei V. 
700 1 |a Jóhannsdóttir, Kamilla R. 
710 2 |a IOS Press. 
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830 0 |a Frontiers in artificial intelligence and applications ;  |v v. 233. 
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