Cover image for Multi-agent systems : simulation and applications
Title:
Multi-agent systems : simulation and applications
Series:
Computational analysis, syntheiss, and design of dynamic models series
Publication Information:
Boca Raton, FL : CRC Press, 2009
Physical Description:
xiv, 567 p. : ill. ; 26 cm.
ISBN:
9781420070231

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30000010215378 QA76.76.I58 M86 2009 Open Access Book Book
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30000010215379 QA76.76.I58 M86 2009 Open Access Book Book
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Summary

Summary

Methodological Guidelines for Modeling and Developing MAS-Based Simulations

The 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 domains, much of the supporting research remains scattered in the literature, too often leaving scientists to develop multi-agent system (MAS) models and simulations from scratch.

Multi-Agent Systems: Simulation and Applications provides an overdue review of the wide ranging facets of MAS simulation, including methodological and application-oriented guidelines. This comprehensive resource reviews two decades of research in the intersection of MAS, simulation, and different application domains. It provides scientists and developers with disciplined engineering approaches to modeling and developing MAS-based simulations. After providing an overview of the field's history and its basic principles, as well as cataloging the various simulation engines for MAS, the book devotes three sections to current and emerging approaches and applications.

Simulation for MAS -- explains simulation support for agent decision making, the use of simulation for the design of self-organizing systems, the role of software architecture in simulating MAS, and the use of simulation for studying learning and stigmergic interaction.

MAS for Simulation -- discusses an agent-based framework for symbiotic simulation, the use of country databases and expert systems for agent-based modeling of social systems, crowd-behavior modeling, agent-based modeling and simulation of adult stem cells, and agents for traffic simulation.

Tools -- presents a number of representative platforms and tools for MAS and simulation, including Jason, James II, SeSAm, and RoboCup Rescue.

Complete with over 200 figures and formulas, this reference book provides the necessary overview of experiences with MAS simulation and the tools needed to exploit simulation in MAS for future research in a vast array of applications including home security, computational systems biology, and traffic management.


Author Notes

Adelinde M. Uhrmacher, Danny Weyns


Table of Contents

Fabien Michel and Jacques Ferber and Alexis DrogoulKlaus G. TroitzschGeorgios K. Theodoropoulos and Rob Minson and Roland Ewald and Michael LeesH. Van Dyke Parunak and Sven A. BruecknerLuca Gardelli and Mtiko Viroli and Andrea OmiciniAlexander Helleboogh and Danny Weyns and Tom HolvoetKarl Tuyls and Ronald WestraLuca Tummolini and Marco Mirolli and Cristiano CastelfranchiBarry G. Silverman and Gnana K. Bharathy and G. Jiyun KimStefania Bandini and Sara Manzoni and Giuseppe VizzariArne Kesting and Martin Treiber and Dirk HelbingHeiko Aydt and Stephen John Turner and Wentong Cai and Malcolm Yoke Hean LowMark d'Inverno and Paul Howells and Sara Montagna and Ingo Roeder and Rob SaundersTomoichi TakahashiRafael H. Bordini and Jomi F. HübnerFranziska KlüglJan Himmelspach and Mathias Röhl
Prefacep. vii
Acknowledgmentsp. ix
About the Editorsp. xi
Contributorsp. xiii
Part I Background
1 Multi-Agent Systems and Simulation: A Survey from the Agent Community's Perspectivep. 3
2 Multi-Agent Systems and Simulation: A Survey from an Application Perspectivep. 53
3 Simulation Engines for Multi-Agent Systemsp. 77
Part II Simulation for MAS
4 Polyagents: Simulation for Supporting Agents' Decision Makingp. 109
5 Combining Simulation and Formal Tools for Developing Self-Organizing MASp. 133
6 On the Role of Software Architecture for Simulating Multi-Agent Systemsp. 167
7 Replicator Dynamics in Discrete and Continuous Strategy Spacesp. 215
8 Stigmergic Cues and Their Uses in Coordination: An Evolutionary Approachp. 243
Part III MAS for Simulation
9 Challenges of Country Modeling with Databases, Newsfeeds, and Expert Surveysp. 271
10 Crowd Behavior Modeling: From Cellular Automata to Multi-Agent Systemsp. 301
11 Agents for Traffic Simulationp. 325
12 An Agent-Based Generic Framework for Symbiotic Simulation Systemsp. 357
13 Agent-Based Modeling of Stem Cellsp. 389
Part IV Tools
14 RoboCup Rescue: Challenges and Lessons Learnedp. 423
15 Agent-Based Simulation Using BDI Programming in Jasonp. 451
16 SeSAm: Visual Programming and Participatory Simulation for Agent-Based Modelsp. 477
17 JAMES II - Experiences and Interpretationsp. 509
Glossaryp. 535
Indexp. 543