Overview

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.

Full Product Details

Author:   Jaime S. Sichman ,  Luis Antunes
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2006 ed.
Volume:   3891
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.660kg
ISBN:  

9783540333807

ISBN 10:   3540333800
Pages:   190
Publication Date:   18 April 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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.

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