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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.
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