Massively Multi-Agent Technology AAMAS Workshops, MMAS 2006, LSMAS 2006, and CCMMS 2007 Hakodate, Japan, May 9, 2006 Honolulu, HI, USA, May 15, 2007, Selected and Revised Papers

Massively Multi-Agent Technology AAMAS Workshops, MMAS 2006, LSMAS 2006, and CCMMS 2007 Hakodate, Japan, May 9, 2006 Honolulu, HI, USA, May 15, 2007, Selected and Revised Papers / edited by Nadeem Jamali, Paul Scerri, Toshiharu Sugawara.

This book constitutes the thoroughly refereed post-workshop proceedings of the joint AAMAS 2006 International Workshops on Massively Multi-Agent Systems, MMAS 2006, and on Large scale Multi-Agent Systems, LSMAS 2006, held in Hakodate, Japan, in May 2006, and of the International Workshop on Coordina...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Jamali, Nadeem (Editor), Scerri, Paul (Editor), Sugawara, Toshiharu (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Lecture Notes in Artificial Intelligence ; 5043
Springer eBook Collection.
Subjects:
Computers.
Computer science.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Massively Multi-agent Infrastructure
  • A Platform for Massive Agent-Based Simulation and Its Evaluation
  • Distributed Coordination of Massively Multi-Agent Systems
  • Community-Based Load Balancing for Massively Multi-Agent Systems
  • Task Allocation in Massively Multi-agent Systems
  • A Study of Coordinated Dynamic Market-Based Task Assignment in Massively Multi-Agent Systems
  • Dynamic Pricing Algorithms for Task Allocation in Multi-agent Swarms
  • Teams and Organization
  • Evolve Individual Agent Strategies to Global Social Law by Hierarchical Immediate Diffusion
  • Team Formation Strategies in a Dynamic Large-Scale Environment
  • Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios
  • Applications of Massively Multi-agent Systems
  • Mousetrap 2.0
  • Application of a Massively Multi-Agent System to Internet Routing Management
  • An Agent-Based Approach for Range Image Segmentation
  • Coordination in Disaster Management and Response: A Unified Approach
  • The Scalability of an Environment for Large-Scale Sensor-Networks.

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