Multi-Agent-Based Simulation III: 4th International Workshop, MABS 2003, Melbourne, Australia, July 14th, 2003, Revised Papers

ISBN-13: 9783540207368 / Angielski / Miękka / 2003 / 224 str.

David Hales; Bruce Edmonds; Emma Norling

Opis

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Multi-Agent-Based Simulation, MABS 2003, held in Melbourne, Australia as part of AAMAS 2003.

The 11 revised full papers presented together with 3 invited papers were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on MABS techniques for MAS; economics, exchange, and influence in virtual worlds; MABS techniques for real-world modelling, and understanding and classifying MABS.

Spis treści

MABS Techniques for MAS.- Engineering Emergent Behaviour: A Vision.- Employment Decisions Supporting Organizations of Autonomous Agents.- Towards Verification and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents.- Weak Interaction and Strong Interaction in Agent Based Simulations.- Economics, Exchange, and Influence in VirtualWorlds.- Using Qualitative Exchange Values to Improve the Modelling of Social Interactions.- Bilateral Tradings with and without Strategic Thinking.- Monetary Policy and Banks’ Loan Supply Rules to Harness Asset Bubbles and Crashes.- Social Change: Exploring Design Influence.- Social Prejudice: Cognitive Modelling and Simulation Findings.- MABS Techniques for RealWorld Modelling.- A Methodology for Eliciting and Modelling Stakeholders’ Representations with Agent Based Modelling.- Modelling a European Decision Making Process with Heterogeneous Public Opinion and Lobbying: The Case of the Authorization Procedure for Placing Genetically Modified Organisms on the Market.- Evaluation of Usability of Dial-a-Ride Systems by Social Simulation.- The Strategy Hypercube: Exploring Strategy Space Using Agent-Based Models.- Understanding and Classifying MABS.- A Classification of Paradigmatic Models for Agent-Based Social Simulation.