Overview

With the proliferation of consumer devices, computation is becoming truly ubiq- tous. Multi-agent systems hold the promise to enable utilization of these compu- tional resources for ground-breaking new applications. However, as the number of agents involved in multi-agent computations rises, traditional approaches of bui- ing multi-agent systems fail to scale. Massively multi-agent systems address this challenge of scale. Massive, in this context, is meant to capture the complexity of such systems, which precludes decision making to focus on individual agents. Agents making decisions have to reduce the complexity of the space in which they must decide. The focus, therefore, is on the approaches to manage the compl- ity, implications of this abstraction, as well as on identifying ways of applying the paradigm to problems. Papers appearing in this volume have been selected from three inter- tional workshops held in conjunction with the International Conferences on - tonomous Agents and Multiagent Systems (AAMAS) held in 2006 and 2007: First International Workshop on Coordination and Control in Massively Mul- agent Systems (CCMMS 2007); and the jointly held Second International Workshop on Massively Multi-agent Systems (MMAS 2006) and the Third Int- national Workshop on Challenges in the Coordination of Large-Scale Multi-agent Systems (LSMAS 2006).

Full Product Details

Author:   Nadeem Jamali ,  Paul Scerri ,  Toshiharu Sugawara
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2008 ed.
Volume:   5043
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783540854487

ISBN 10:   3540854487
Pages:   191
Publication Date:   04 August 2008
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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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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