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
Herausgegeben:Jamali, Nadeem; Scerri, Paul; Sugawara, Toshiharu

• Broschiertes Buch

Produktbeschreibung

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 Agentsand 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).

Produktdetails

• Lecture Notes in Computer Science 5043
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 12512935, 978-3-540-85448-7
• 2008
• Seitenzahl: 208
• Erscheinungstermin: 4. August 2008
• Englisch
• Abmessung: 235mm x 155mm x 12mm
• Gewicht: 324g
• ISBN-13: 9783540854487
• ISBN-10: 3540854487
• Artikelnr.: 24765205

Inhaltsangabe

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.