[agents] New book: Multi-Agent Systems: Simulation and Applications

[Danny Weyns]

NEW BOOK: MULTI-AGENT SYSTEMS: SIMULATION AND APPLICATIONS

Edited by Adelinde M. Uhrmacher and Danny Weyns

CRC Press - Taylor and Francis Group
ISBN: 9781420070231 – 566 pages

http://www.crcpress.com/product/isbn/9781420070231


SUMMARY

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.


CONTENTS

PART I: BACKGROUND
Multi-Agent Systems and Simulation: A Survey from the Agent Community's 
Perspective
Fabien Michel, Jacques Ferber, and Alexis Drogoul

Multi-Agent Systems and Simulation: A Survey from an Application Perspective
Klaus G. Troitzsch

Simulation Engines for Multi-Agent Systems
Georgios K. Theodoropoulos, Rob Minson, Roland Ewald, and Michael Lees

PART II: SIMULATION FOR MAS
Polyagents: Simulation for Supporting Agents' Decision Making
H. Van Dyke Parunak and Sven A. Brueckner

Combining Simulation and Formal Tools for Developing Self-Organizing MAS
Luca Gardelli, Mirko Viroli, and Andrea Omicini

On the Role of Software Architecture for Simulating Multi-Agent Systems
Alexander Helleboogh , Danny Weyns, and Tom Holvoet

Replicator Dynamics in Discrete and Continuous Strategy Spaces
Karl Tuyls and Ronald Westra

Stigmergic Cues and Their Uses in Coordination; An Evolutionary Approach
Luca Tummolini, Marco Mirolli, and Cristiano Castelfranchi

PART III: MAS FOR SIMULATION
Challenges of Country Modeling with Databases, Newsfeeds, and Expert Surveys
Barry G. Silverman, Gnana K. Bharathy, and G. Jiyun Kim

Crowd Behavior Modeling: From Cellular Automata to Multi-Agent Systems
Stefania Bandini, Sara Manzoni, and Giuseppe Vizzari

Agents for Traffic Simulation
Arne Kesting, Martin Treiber, and Dirk Helbing

An Agent-Based Generic Framework for Symbiotic Simulation Systems
Heiko Aydt, Stephen John Turner, Wentong Cai, and Malcolm Yoke Hean Low

Agent-Based Modeling of Stem Cells
Mark d'Inverno, Paul Howells, Sara Montagna, Ingo Roeder, and Rob Saunders

PART IV: TOOLS
RoboCup Rescue: Challenges and Lessons Learned
Tomoichi Takahashi

Agent-Based Simulation Using BDI Programming in Jason
Rafael H. Bordini and Jomi F. Hübner

SeSAm: Visual Programming and Participatory Simulation for Agent-Based 
Models
Franziska Kluegl

JAMES II - Experiences and Interpretations
Jan Himmelspach and Mathias Rohl


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