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Environments for Multi-Agent Systems : First International Workshop, E4MAS 2004, New York, NY, July 19, 2004, Revised Selected Papers / edited by Danny Weyns, H. Dyke Parunak, Fabien Michel.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 3374Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Descripción: x, 279 páginas Also available online. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783540322597
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • Q334-342
Recursos en línea:
Contenidos:
Survey -- Environments for Multiagent Systems State-of-the-Art and Research Challenges -- Conceptual Models -- AGRE: Integrating Environments with Organizations -- From Reality to Mind: A Cognitive Middle Layer of Environment Concepts for Believable Agents -- A Spatially Dependent Communication Model for Ubiquitous Systems -- Languages for Design and Specification -- ELMS: An Environment Description Language for Multi-agent Simulation -- MIC*: A Deployment Environment for Autonomous Agents -- Simulation and Environments -- About the Role of the Environment in Multi-agent Simulations -- Modelling Environments for Distributed Simulation -- Mediated Coordination -- Supporting Context-Aware Interaction in Dynamic Multi-agent Systems -- Environment-Based Coordination Through Coordination Artifacts -- “Exhibitionists” and “Voyeurs” Do It Better: A Shared Environment for Flexible Coordination with Tacit Messages -- Applications -- Swarming Distributed Pattern Detection and Classification -- Digital Pheromones for Coordination of Unmanned Vehicles -- Motion Coordination in the Quake 3 Arena Environment: A Field-Based Approach.
Resumen: This modern field of multi-agent systems has developed from two main lines of earlier research: its practitioners generally regard it as a form of distributed artificial intelligence, whereas some researchers have persistently advocated ideas from the field of artificial life. AI agents (and their designers) usually take the environment for agent interaction as granted. From the ALife perspective and for ALife agents, the environment for interaction is an active participant in agent dynamics, a first class member of the overall systems. This book originates from the First International Workshop on Environments for Multi-Agent Systems, E4MAS 2004, held in New York, NY, USA in July 2004 as a satellite workshop of AAMAS 2004. The 13 carefully selected reviewed and revised papers presented together with an introductory survey article of close to 50 pages are organized in topical sections on conceptual models, language for design and specification, simulation and environments, mediated coordination, and applications.
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Springer eBooks

Survey -- Environments for Multiagent Systems State-of-the-Art and Research Challenges -- Conceptual Models -- AGRE: Integrating Environments with Organizations -- From Reality to Mind: A Cognitive Middle Layer of Environment Concepts for Believable Agents -- A Spatially Dependent Communication Model for Ubiquitous Systems -- Languages for Design and Specification -- ELMS: An Environment Description Language for Multi-agent Simulation -- MIC*: A Deployment Environment for Autonomous Agents -- Simulation and Environments -- About the Role of the Environment in Multi-agent Simulations -- Modelling Environments for Distributed Simulation -- Mediated Coordination -- Supporting Context-Aware Interaction in Dynamic Multi-agent Systems -- Environment-Based Coordination Through Coordination Artifacts -- “Exhibitionists” and “Voyeurs” Do It Better: A Shared Environment for Flexible Coordination with Tacit Messages -- Applications -- Swarming Distributed Pattern Detection and Classification -- Digital Pheromones for Coordination of Unmanned Vehicles -- Motion Coordination in the Quake 3 Arena Environment: A Field-Based Approach.

This modern field of multi-agent systems has developed from two main lines of earlier research: its practitioners generally regard it as a form of distributed artificial intelligence, whereas some researchers have persistently advocated ideas from the field of artificial life. AI agents (and their designers) usually take the environment for agent interaction as granted. From the ALife perspective and for ALife agents, the environment for interaction is an active participant in agent dynamics, a first class member of the overall systems. This book originates from the First International Workshop on Environments for Multi-Agent Systems, E4MAS 2004, held in New York, NY, USA in July 2004 as a satellite workshop of AAMAS 2004. The 13 carefully selected reviewed and revised papers presented together with an introductory survey article of close to 50 pages are organized in topical sections on conceptual models, language for design and specification, simulation and environments, mediated coordination, and applications.

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