Multi-Agent Systems and Applications : 9th ECCAI Advanced Course, ACAI 2001 and Agent Link s 3rd European Agent Systems Summer School, EASSS 2001 Prague, Czech Republic, July 2 13, 2001 Selected Tutorial Papers

The Advanced Course on Artificial Intelligence ACAI 2001 with the subtitle M ulti- Agent Systems and Their Applications , held in Prague, Czech Republic, was a joint event of ECCAI (the European Coordinating Committee for Artificial Intelligence) and AgentLink, the European Network of Excellence for...

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Enti autori: European coordinating committee for artificial intelligence, European Agent Systems Summer School (Autore)
Altri autori: Mařík, Vladimír, 1952- (Direttore editoriale), Luck, Michael M. (Direttore editoriale), Trappl, Robert, 1939- (Direttore editoriale), Stepankova, Olga (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serie:Lecture notes in computer science. Lecture notes in artificial intelligence 2086
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Edition sous un autre format:• Multi-agent systems and applications, 9th ECCAI advanced course, ACAI 2001 and agent link's 3rd European Agent Systems Summer School, EASSS 2001, Prague, Czech Republic, July 2-13, 2001, selected tutorial papers, Michael Luck ... [et al.], (eds.), 2001, New York, Springer, 1 volume (X-435 pages), Lecture notes in computer science, 3-540-42312-5
• Multi-Agent Systems and Applications, Texte imprimé, 9783540829539
Sommario:
  • Foundations of Multi-agent Systems
  • Perspectives on Organizations in Multi-agent Systems
  • Multi-agent Infrastructure, Agent Discovery, Middle Agents for Web Services and Interoperation
  • Logical Foundations of Agent-Based Computing
  • Standardizing Agent Communication
  • Standardizing Agent Interoperability: The FIPA Approach
  • Distributed Problem Solving and Planning
  • Automated Negotiation and Decision Making in Multiagent Environments
  • Agents? Advanced Features for Negotiation and Coordination
  • Social Behaviour, Meta-reasoning, and Learning
  • Towards Heterogeneous Agent Teams
  • Social Knowledge in Multi-agent Systems
  • Machine Learning and Inductive Logic Programming for Multi-agent Systems
  • Relational Reinforcement Learning
  • From Statistics to Emergence: Exercises in Systems Modularity
  • Emotions and Agents
  • Applications
  • Multi-agent Coordination and Control Using Stigmergy Applied to Manufacturing Control
  • Virtual Enterprise Modeling and Support Infrastructures: Applying Multi-agent System Approaches
  • Specialised Agent Applications
  • Agent-Based Modelling of Ecosystems for Sustainable Resource Management
  • Cooperating Physical Robots: A Lesson in Playing Robotic Soccer
  • A Multi-agent Study of Interethnic Cooperation.