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Record Nr. |
UNISA996465416703316 |
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Titolo |
Multi-Agent-Systems and Applications II [[electronic resource] ] : 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001. Selected Revised Papers / / edited by Vladimir Marik, Olga Stepankova, Hana Krautwurmova, Michael Luck |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
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ISBN |
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Edizione |
[1st ed. 2002.] |
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Descrizione fisica |
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1 online resource (XII, 384 p.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 2322 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Application software |
Artificial Intelligence |
Computer Appl. in Administrative Data Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Multi-Agent Systems and Applications ACAI 2001: Selected Tutorial Papers -- Intelligent Agents: The Key Concepts -- Motivated Agent Behaviour and Requirements Applied to Virtual Emergencies -- Software Agents for Electronic Business: Opportunities and Challenges -- From Simulated Dialogues to Interactive Performances -- Cooperating Agents for Holonic Manufacturing -- Multi-Agent Systems and Applications ACAI 2001: Selected Student Papers -- Self-Stabilizing Distributed Algorithms for Defeat Status Computation in Argumentation -- Replanning in a Resource-Based Framework -- Distributed Branch and Bound Algorithm in Coalition Planning -- Formal Conversations for the Contract Net Protocol -- Adaptive Agents in Argumentation-Based Negotiation -- Flexible Load Balancing in Distributed Information Agent Systems -- Autonomous Agents Applied to Manufacturing Scheduling Problems: A Negotiation-Based Heuristic Approach -- Adaptability and Embodiment Using Multi-Agent Systems AEMAS 2001: Selected Papers -- Adaptability and Embodiment Using Multi-Agent Systems -- Distributed Shared Agent Representations -- Modeling Adaptive Multi-Agent Systems Inspired by Developmental |
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