Massively Multi-Agent Technology

1. Front Matter

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2. Massively Multi-agent Infrastructure

   1. A Platform for Massive Agent-Based Simulation and Its Evaluation

      • Gaku Yamamoto, Hideki Tai, Hideyuki Mizuta

      Pages 1-12

   2. Distributed Coordination of Massively Multi-Agent Systems

      • Nadeem Jamali, Xinghui Zhao

      Pages 13-27

   3. Community-Based Load Balancing for Massively Multi-Agent Systems

      • Naoki Miyata, Toru Ishida

      Pages 28-42

3. Task Allocation in Massively Multi-agent Systems

   1. A Study of Coordinated Dynamic Market-Based Task Assignment in Massively Multi-Agent Systems

      • MyungJoo Ham, Gul Agha

      Pages 43-63

   2. Dynamic Pricing Algorithms for Task Allocation in Multi-agent Swarms

      • Prithviraj Dasgupta, Matthew Hoeing

      Pages 64-79

4. Teams and Organization

   1. Evolve Individual Agent Strategies to Global Social Law by Hierarchical Immediate Diffusion

      • Yichuan Jiang, Toru Ishida

      Pages 80-91

   2. Team Formation Strategies in a Dynamic Large-Scale Environment

      • Chris L. D. Jones, K. Suzanne Barber

      Pages 92-106

   3. Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios

      • Paulo R. Ferreira Jr., Felipe S. Boffo, Ana L. C. Bazzan

      Pages 107-121

5. Applications of Massively Multi-agent Systems

   1. Mousetrap 2.0

      • Venkatesh G. Rao, Brian Petty

      Pages 122-130

   2. Application of a Massively Multi-Agent System to Internet Routing Management

      • Osamu Akashi, Kensuke Fukuda, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara

      Pages 131-145

   3. An Agent-Based Approach for Range Image Segmentation

      • Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Mohamed Batouche

      Pages 146-161

   4. Coordination in Disaster Management and Response: A Unified Approach

      • Myriam Abramson, William Chao, Joseph Macker, Ranjeev Mittu

      Pages 162-175

   5. The Scalability of an Environment for Large-Scale Sensor-Networks

      • Timothy Middelkoop, Abhijit Deshmukh

      Pages 176-189

6. Back Matter

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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).

• Management
• agent-based negotiation
• agent-based simulation
• algorithms
• auction simulation
• bidding strategies
• coalition formation
• complexity
• coordination
• dependability
• distributed systems
• fault tolerance
• game theory
• multi-agent system
• organization

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