Multi-Agent-Based Simulation VI
International Workshop, MABS 2005, Utrecht, The Netherlands, July 25, 2005, Revised and Invited Papers
Published on 18. April 2006
Book
Paperback/Softback
X, 190 pages
978-3-540-33380-7 (ISBN)
Description
This book constitutes the thoroughly refereed post-proceedings of the 6th International Workshop on Multi-Agent-Based Simulation, MABS 2005, held in Utrecht, The Netherlands in July 2005 as an associated event of AAMAS 2005, the main international conference on autonomous agents and multi-agent systems. The 12 revised full papers presented together with 1 invited talk were carefully reviewed. The papers are organized in topical sections on coalition emergence, theories and models, applications, and environments.
More details
Series
Edition
2006 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
X, 190 p.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
660 gr
ISBN-13
978-3-540-33380-7 (9783540333807)
DOI
10.1007/11734680
Schweitzer Classification
Content
Invited Talk.- Multi-Agent-Based Simulation: Why Bother?.- Coalition Emergence.- PartNET++: Simulating Multiple Agent Partnerships Using Dependence Graphs.- Analysing Partner Selection Through Exchange Values.- Theories and Models.- Automatic Tuning of Agent-Based Models Using Genetic Algorithms.- Formal Interpretation and Analysis of Collective Intelligence as Individual Intelligence.- An Artificial Maieutic Approach for Eliciting Experts' Knowledge in Multi-agent Simulations.- Predictability for Autonomous Decision Support.- Applications.- Analyzing Police Patrol Routes by Simulating the Physical Reorganization of Agents.- Agent-Based Geo-simulation to Support Human Planning and Spatial Cognition.- Modeling Non-linear Common-Pool Resource Experiments with Boundedly Rational Agents.- Tax Compliance in a Simulated Heterogeneous Multi-agent Society.- Environments.- Agent Transport Simulation for Dynamic Peer-to-Peer Networks.- Visual Modeling for Complex Agent-Based Simulation Systems.