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Agent-Based Computing
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Editors: Duarte Bouça and Amaro Gafagnão
Book Description:
Multi-agent systems (MAS) often deal with complex applications that require distributed problem solving. In many applications, the individual and collective behavior of the agents depends on the observed data from distributed sources. This book discusses a number of research issues concerned with the use of Multi-Agent Systems for Data Mining (MADM), also known as agent-driven data mining. In addition, optimization algorithms are very important in modern research and industrial areas. This book examines one multi-population co-genetic algorithm (MPAGA) with double chain-like agent structure to realize parallel optimization, combining chain-like agent structure and multi-population parallel searching. Furthermore, this book proposes an efficient modular artificial neural network (ANN) architecture for the intelligent decision making of a robot in a robot soccer systems with different team configurations. Other chapters review the use of radio frequency identification (RFID) technology with supply chain agents and then analyze the security requirements, describe how to design and implement a large-scale multi-agent simulation software, and provide a framework of evacuation simulation for urban hazards such as flooding with effective agent's interaction tools with other agents and the physical environment.

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Table of Contents:
Preface pp. i-xii

Chapter 1. Agent-Based Genetic Algorithm for Global Numerical Optimization and Feature Selection, pp. 1-49
(Yongming Li, Xiaoping Zeng, Pin Wang, College of Communication Engineering of Chongqing University, P.R.China)

Chapter 2. Multi-Agent Enterprise Sustainability Performance Measurement System, pp. 51-87
(Ismail Erol, Safiye Turgay, Abant Izzet Baysal University, Department of Business Administration, Bolu, Turkey)

Chapter 3. A Modular Artificial Neural Network Based Decision Making in a Multi-Agent Robot Soccer System, pp. 89-107
(K. G. Jolly, R. Sreerama Kumar, R. Vijayakumar, NSS College of Engineering Palakkad, Kerala, India, and others)

Chapter 4. Security and Privacy in Track & Trace Infrastructures, pp. 109-122
(Leonardo Weiss Ferreira Chaves, Florian Kerschbaum, SAP Research, Karlsruhe, Germany)

Chapter 5. A Challenge to Develop Large-Scale Agent Simulation Software, pp. 123-140
(Hiroshi Arikawa, Sen-ichi Morishita, Tadahiko Murata, Policy Grid Computing Laboratory, Kansai University, and others)

Chapter 6. A Framework of an Agent-Based Model Using Social and Physical Interaction for Vulnerability Analysis on Flood Events, pp. 141-154
(Jinmu Choi, Sung-Jin Cho, Chul-Sue Hwang, Dept. of Geosciences, Mississippi StateUniversity, Mississippi State, MS, and others)

Chapter 7. Agent-based Manufacturing System Innovation: Fractal Approaches, pp. 155-193
(Jungtae Mun, Moonsoo Shin, Kwangyeol Ryu and Mooyoung Jung, Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea, and others)

Chapter 8. Agent-Based Discovery, Composition and Orchestration of Grid Web Services, pp. 195-224
(Dionysios D. Kehagias, Dimitrios Tzovaras, George A. Gravvanis, Centre for Research and Technology Hellas, Informatics and Telematics Institute, Thessalioniki, Greece)*

Chapter 9. An Efficient Mobile-Agent-Based Platform for Dynamic Service Provisioning in 3G/UMTs, pp. 225-245
(Yuan-Lin Ko, Kuochen Wang, Hung-Cheng Shih, Dept. of Computer Science, National Chiao Tung University, Hsinchu, Taiwan)*

Chapter 10. An Investigation into the Issues of Multi-Agent Data Mining, pp. 247-324
(Kamal Ali Albashiri, Frans Coenen, and Paul Leng, Department of Computer Science, The University of Liverpool, Liverpool, United Kingdom)

Index pp.327-334

      Computer Science, Technology and Applications
   Binding: Hardcover
   Pub. Date: 2012- December
   Pages: pp.346
   ISBN: 978-1-60876-684-0
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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