(Computational Analysis, Synthesis, and Design of Dynamic Systems) 1st Edition
by Adelinde M. Uhrmacher (Editor), Danny Weyns (Editor)
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.
