Biologically inspired cognitive architectures 2011: proceedings of the second annual meeting of the BICA Society
Gespeichert in:
| Körperschaft: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
IOS Press
©2011
|
| Schriftenreihe: | Frontiers in artificial intelligence and applications
v.233 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | International conference proceedings. - Includes index 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 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 |
| Beschreibung: | 1 Online-Ressource (xviii, 411 pages) |
| ISBN: | 9781607509592 1607509598 9781607509585 160750958X |
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| spelling | BICA Society Annual Meeting < 2011, Arlington, Va.> Verfasser aut Biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the BICA Society edited by Alexei V. Samsonovich and Kamilla R. Jóhannsdóttir Amsterdam IOS Press ©2011 1 Online-Ressource (xviii, 411 pages) txt rdacontent c rdamedia cr rdacarrier Frontiers in artificial intelligence and applications v.233 International conference proceedings. - Includes index 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 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 COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Biologically-inspired computing fast Künstliche Intelligenz Biologically-inspired computing Congresses Artificial intelligence Congresses (DE-588)1071861417 Konferenzschrift gnd-content Samsonovich, Alexei V. Sonstige oth Jóhannsdóttir, Kamilla R. Sonstige oth IOS Press Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=422094 Aggregator Volltext |
| spellingShingle | Biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the BICA Society COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Biologically-inspired computing fast Künstliche Intelligenz Biologically-inspired computing Congresses Artificial intelligence Congresses |
| subject_GND | (DE-588)1071861417 |
| title | Biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the BICA Society |
| title_auth | Biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the BICA Society |
| title_exact_search | Biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the BICA Society |
| title_full | Biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the BICA Society edited by Alexei V. Samsonovich and Kamilla R. Jóhannsdóttir |
| title_fullStr | Biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the BICA Society edited by Alexei V. Samsonovich and Kamilla R. Jóhannsdóttir |
| title_full_unstemmed | Biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the BICA Society edited by Alexei V. Samsonovich and Kamilla R. Jóhannsdóttir |
| title_short | Biologically inspired cognitive architectures 2011 |
| title_sort | biologically inspired cognitive architectures 2011 proceedings of the second annual meeting of the bica society |
| title_sub | proceedings of the second annual meeting of the BICA Society |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Artificial intelligence fast Biologically-inspired computing fast Künstliche Intelligenz Biologically-inspired computing Congresses Artificial intelligence Congresses |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Artificial intelligence Biologically-inspired computing Künstliche Intelligenz Biologically-inspired computing Congresses Artificial intelligence Congresses Konferenzschrift |
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