Multi-agent systems : simulation and applications /

Methodological Guidelines for Modeling and Developing MAS-Based SimulationsThe intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Although agents and simulation have been used effectively in a variety of application dom...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Uhrmacher, Adelinde, Weyns, Danny
Format:	eBook
Language:	English
Published:	Boca Raton : CRC Press/Taylor & Francis, ©2009.
Series:	Computational analysis, synthesis, and design of dynamic models series.
Subjects:	Intelligent agents (Computer software) Distributed artificial intelligence. Computer simulation. Application software > Development. Computer Simulation Agents intelligents (Logiciels) Intelligence artificielle répartie. Simulation par ordinateur. Logiciels d'application > Développement. simulation. COMPUTERS > Enterprise Applications > Business Intelligence Tools. COMPUTERS > Intelligence (AI) & Semantics. Application software > Development Computer simulation Distributed artificial intelligence Agenter (datorprogram) Artificiell intelligens. Datorsimulering. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Cover; Title; Copyright; Contents; Preface; Acknowledgments; About the Editors; Contributors; Part I: Background; Chapter 1: Multi-Agent Systems and Simulation: A Survey from the Agent Community's Perspective; Chapter 2: Multi-Agent Systems and Simulation: A Survey from an Application Perspective; Chapter 3: Simulation Engines for Multi-Agent Systems; Part II: Simulation for MAS; Chapter 4: Polyagents: Simulation for Supporting Agents' Decision Making; Chapter 5: Combining Simulation and Formal Tools for Developing Self-Organizing MAS.
Chapter 6: On the Role of Software Architecture for Simulating Multi-Agent SystemsChapter 7: Replicator Dynamics in Discrete and Continuous Strategy Spaces; Chapter 8: Stigmergic Cues and Their Uses in Coordination: An Evolutionary Approach; Part III: MAS for Simulation; Chapter 9: Challenges of Country Modeling with Databases, Newsfeeds, and Expert Surveys; Chapter 10: Crowd Behavior Modeling: From Cellular Automata to Multi-Agent Systems; Chapter 11: Agents for Traffic Simulation; Chapter 12: An Agent-Based Generic Framework for Symbiotic Simulation Systems.
Chapter 13: Agent-Based Modeling of Stem CellsPart IV: Tools; Chapter 14: RoboCup Rescue: Challenges and Lessons Learned; Chapter 15: Agent-Based Simulation Using BDI Programming in Jason; Chapter 16: SeSAm: Visual Programming and Participatory Simulation for Agent-Based Models; Chapter 17: JAMES II
Experiences and Interpretations; Glossary; Index.