Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010215378 | QA76.76.I58 M86 2009 | Open Access Book | Book | Searching... |
Searching... | 30000010215379 | QA76.76.I58 M86 2009 | Open Access Book | Book | Searching... |
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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
Preface | p. vii |
Acknowledgments | p. ix |
About the Editors | p. xi |
Contributors | p. xiii |
Part I Background | |
1 Multi-Agent Systems and Simulation: A Survey from the Agent Community's Perspective | p. 3 |
2 Multi-Agent Systems and Simulation: A Survey from an Application Perspective | p. 53 |
3 Simulation Engines for Multi-Agent Systems | p. 77 |
Part II Simulation for MAS | |
4 Polyagents: Simulation for Supporting Agents' Decision Making | p. 109 |
5 Combining Simulation and Formal Tools for Developing Self-Organizing MAS | p. 133 |
6 On the Role of Software Architecture for Simulating Multi-Agent Systems | p. 167 |
7 Replicator Dynamics in Discrete and Continuous Strategy Spaces | p. 215 |
8 Stigmergic Cues and Their Uses in Coordination: An Evolutionary Approach | p. 243 |
Part III MAS for Simulation | |
9 Challenges of Country Modeling with Databases, Newsfeeds, and Expert Surveys | p. 271 |
10 Crowd Behavior Modeling: From Cellular Automata to Multi-Agent Systems | p. 301 |
11 Agents for Traffic Simulation | p. 325 |
12 An Agent-Based Generic Framework for Symbiotic Simulation Systems | p. 357 |
13 Agent-Based Modeling of Stem Cells | p. 389 |
Part IV Tools | |
14 RoboCup Rescue: Challenges and Lessons Learned | p. 423 |
15 Agent-Based Simulation Using BDI Programming in Jason | p. 451 |
16 SeSAm: Visual Programming and Participatory Simulation for Agent-Based Models | p. 477 |
17 JAMES II - Experiences and Interpretations | p. 509 |
Glossary | p. 535 |
Index | p. 543 |