Objetivo The project will develop and validate a conceptual architecture for Cognitive Agents. The architecture will integrate the cycle of perception-knowledge acquisition-abstraction-reasoning-action generation. Special focus will be given in the abstraction architecture. The concept system is the representation of the knowledge that the agent possesses for its environment and itself. Objects, relations, goals, context information, and solution strategies are considered as knowledge about a situation. The abstraction mechanism is responsible for creating and organising a hierarchy of concepts while the reasoning process operates on the concept system in order to make inferences for virtual actions and select the one that will realise.The architecture will include attention control as a means of handling complexity, prioritising responses, detecting novelty and creating new goals. Both sensory and motor attention will exist. A goals-oriented computational model will fuse together user tasks with tasks originated from the agent. A goals generation system will enable the agent to produce its own goals. Reinforcement learning will provide the means by which the agent learns solution strategies for the satisfaction of a goal. The loop closes by having new actions modifying the current knowledge through perception. The architecture will be implemented in a robotics application, namely of robot navigation in an arbitrary outdoors environment but it will be in no way specific to this domain.Major requirements include survival, fast response and user-goal satisfaction. The robotic agent will learn about its own environment before becoming able to satisfy successfully any user goal. The process of retraining prior to becoming service-able will be re-iterated in any new environment. A number of different outdoors environments will be used for testing purposes. The evaluation process will examine the generality, performance, accuracy, scalability and robustness of the architecture. Ámbito científico natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learningengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics Programa(s) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Tema(s) IST-2002-2.3.2.4 - Cognitive systems Convocatoria de propuestas Data not available Régimen de financiación STREP - Specific Targeted Research Project Coordinador KING'S COLLEGE LONDON Aportación de la UE Sin datos Dirección STRAND WC2R 2LS LONDON Reino Unido Ver en el mapa Coste total Sin datos Participantes (4) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo EBERHARD KARLS UNIVERSITAET TUEBINGEN Alemania Aportación de la UE Sin datos Dirección WILHELMSTRASSE 7 72074 TUEBINGEN Ver en el mapa Coste total Sin datos FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS Grecia Aportación de la UE Sin datos Dirección VASSILIKA VOUTON 17671 IRAKLIO, CRETE Ver en el mapa Coste total Sin datos UNIVERSITA DEGLI STUDI DI GENOVA Italia Aportación de la UE Sin datos Dirección VIA BALBI 5 16126 GENOVA Ver en el mapa Coste total Sin datos ZENON S.A. ROBOTICS AND INFORMATICS Grecia Aportación de la UE Sin datos Dirección KANARI STREET 5, GLYKA NERA ATTIKIS 15354 ATHENS Ver en el mapa Coste total Sin datos