LEADER 05828nam 2200733 a 450 001 9910465191303321 005 20200520144314.0 010 $a6613433047 010 $a1-283-43304-4 010 $a9786613433046 010 $a1-60750-959-8 035 $a(CKB)2560000000079560 035 $a(EBL)836211 035 $a(OCoLC)772634052 035 $a(SSID)ssj0000654644 035 $a(PQKBManifestationID)12242457 035 $a(PQKBTitleCode)TC0000654644 035 $a(PQKBWorkID)10661200 035 $a(PQKB)11417956 035 $a(MiAaPQ)EBC836211 035 $a(Au-PeEL)EBL836211 035 $a(CaPaEBR)ebr10524251 035 $a(CaONFJC)MIL343304 035 $a(EXLCZ)992560000000079560 100 $a20120214d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBiologically inspired cognitive architectures 2011$b[electronic resource] $eproceedings of the second annual meeting of the BICA Society /$fedited by Alexei V. Samsonovich and Kamilla R. Jo?hannsdo?ttir 210 $aAmsterdam ;$aWashington, D.C. $cIOS Press$dc2011 215 $a1 online resource (504 p.) 225 1 $aFrontiers in artificial intelligence and applications,$x0922-6389 ;$vv. 233 300 $aDescription based upon print version of record. 311 $a1-60750-958-X 320 $aIncludes bibliographical references and indexes. 327 $aTitle 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 327 $aRapid Prototyping of a Cognitive System for Pediatric Telephone Triage TutoringLearning Categories with Invariances in a Neural Network Model of Prefrontal Cortex; Towards Externalist Robotics; An Innovative Mobile Phone Based System for Humanoid Robot Expressing Emotions and Personality; Fusing Symbolic and Decision-Theoretic Problem Solving + Perception in a Graphical Cognitive Architecture; From Biology to Inspiration and Back: Is the Pallidal Complex a Reservoir?; Architectures of Complex Learning Systems; The Role of the Predicted Present in Artificial and Natural Cognitive Systems 327 $aEvolving Neural Networks for Artificial IntelligenceData Formats in Multineuronal Systems and Brain Reverse Engineering; Parallel and Serial Components in Human-Like Intelligence; Narrative Is a Key Cognitive Competency; Automatic Verb Valency Pattern Recognition; Vision and Emotional Flow in a Cognitive Architecture for Human-Machine Interaction; Cognitive Meta-Learning of Syntactically Inferred Concepts; Integrative General Intelligence for Controlling Game AI in a Minecraft-Like Environment; ASKNet: Leveraging Bio-Cognitive Models in Natural Language Processing 327 $aHuman-Artificial-Intelligence Hybrid Learning SystemsThe What, Why and How of the BI in BICA; On the Simulation of Human Frailty; Adaptive Recall in Hippocampus; A Conceptual Space Architecture for Widely Heterogeneous Robotic Systems; From Repetition Suppression in Stroop to Backward Inhibition in Task Switching: An Example of Model Reusability; Modeling Temporal Dynamics with Function Approximation in Deep Spatio-Temporal Inference Network; Conscious Expectation System; The Roots of Trust: Cognition Beyond Rational; Four Processing Modes of in situ Human Behavior 327 $aSPIRE - A BICA-Emulated Strategic Decision Support SystemRecognizing Geospatial Patterns with Biologically-Inspired Relational Reasoning; Neuromorphic and Brain-Based Robots; Development of a Robot that Cognizes and Learns Unknown Events; Computational Hypothesis for Maturing Out of Addiction and Mindfulness-Based Cognitive Techniques; Does Radical Externalism Suggest How to Implement Machine Consciousness?; Anthropological, Socio-Biological Framework as Master Architect of Human Cognitive Architectures; IARPA's ICArUS Program: Brain-Inspired Cognitive Models for Intelligence Analysis 327 $aTowards a Biologically Inspired Question-Answering Neural Architecture 330 $aThis book presents the proceedings of the Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2011, which is also the Second Annual Meeting of the BICA Society, held in November 2011 in Arlington, Virginia, USA. A Biologically Inspired Cognitive Architecture (BICA) is a computational framework for the design of intelligent agents that incorporates formal mechanisms of human or animal cognition. Biology currently provides the only physical examples of cognitive systems at the level of robustness, flexibility, scalability and consciousness that artificial intel 410 0$aFrontiers in artificial intelligence and applications ;$vv. 233. 606 $aArtificial intelligence$xData processing 606 $aCognition 606 $aComputer architecture 608 $aElectronic books. 615 0$aArtificial intelligence$xData processing. 615 0$aCognition. 615 0$aComputer architecture. 676 $a004 676 $a006.3 701 $aSamsonovich$b Alexei V$0963481 701 $aJo?hannsdo?ttir$b Kamilla R$0963482 712 02$aBICA Society. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465191303321 996 $aBiologically inspired cognitive architectures 2011$92184502 997 $aUNINA