Multi-Agent-Based Simulation VI

International Workshop, MABS 2005, Utrecht, The Netherlands, July 25, 2005, Revised and Invited Papers

AvJaime S. Sichman,Luis Antunes

Häftad, Engelska, 2006

Del i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2006-04-18
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:190
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540333807

Utforska kategorier

3D-grafik och modellering inom Data och IT

Innehållsförteckning

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.