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Agent and Multi-Agent Systems: Technologies and Applications

First KES International Symposium, KES-AMSTA 2007, Wroclaw, Poland, May 31-June 1, 2007, Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Ngoc Thanh Nguyen
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  2. Adam Grzech
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  3. Robert J. Howlett
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  4. Lakhmi C. Jain
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4496)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: KES-AMSTA 2007.

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Table of contents (110 papers)

  1. Front Matter

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  2. Main Track: Methodological Aspects of Agent Systems

    1. On the Integration of Agent-Based and Mathematical Optimization Techniques

      • Paul Davidsson, Jan A. Persson, Johan Holmgren
      Pages 1-10

    2. Building Agent Service Oriented Multi-Agent Systems

      • Dan Luo, Longbing Cao, Jiarui Ni, Li Liu
      Pages 11-20

    3. Agent–Based Approach for LabVIEW Developed Distributed Control Systems

      • Grzegorz Polaków, Mieczysław Metzger
      Pages 21-30

    4. Pr\(\mathcal{SH}\): A Belief Description Logic

      • Tao Jia, Wen Zhao, Lifu Wang
      Pages 31-41

    5. Reinforcement Learning on a Futures Market Simulator

      • Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, Masayuki Numao
      Pages 42-52

    6. The Effects of Agent Synchronization in Asynchronous Search Algorithms

      • Ionel Muscalagiu, Jose M. Vidal, Vladimir Cretu, Popa Horia Emil, Manuela Panoiu
      Pages 53-62

    7. Modelling Social Attitudes of Agents

      • Matteo Cristani, Elisa Burato
      Pages 63-72

    8. Modeling the Activity of a Multiagent System with Evolving Metadata

      • Krzysztof Juszczyszyn
      Pages 73-81

    9. Software Component Selection Algorithm Using Intelligent Agents

      • Blanca Z. Abraham, Jose C. Aguilar
      Pages 82-91

    10. A Methodology to Specify Multiagent Systems

      • Jose Aguilar, Mariela Cerrada, Francisco Hidrobo
      Pages 92-101

    11. A Stochastic Process Model for Daily Travel Patterns and Traffic Information

      • Yongtaek Lim, Seung Jae Lee, Joohwan Kim
      Pages 102-110

    12. Using Data Mining Algorithms for Statistical Learning of a Software Agent

      • Damian Dudek
      Pages 111-120

    13. Expressivity of STRIPS-Like and HTN-Like Planning

      • Marián Lekavý, Pavol Návrat
      Pages 121-130

    14. Implementation and Performance Evaluation of the Agent-Based Algorithm for ANN Training

      • Ireneusz Czarnowski, Piotr Jędrzejowicz
      Pages 131-140

    15. Agent-Based Discovery Middleware Supporting Interoperability in Ubiquitous Environments

      • Seung-Hyun Lee, Kyung-Soo Jang, Ho-Jin Shin, Dong-Ryeol Shin
      Pages 141-149

    16. Performance of Fast TCP in Multi-agent Systems

      • Jung-Ha Kang, Hong-kyun Oh, Sung-Eon Cho, Eun-Gi Kim
      Pages 150-158

    17. Manipulating Paraconsistent Knowledge in Multi-agent Systems

      • Jair Minoro Abe, Kazumi Nakamatsu
      Pages 159-168

    18. Consensus-Based Evaluation Framework for Cooperative Information Retrieval Systems

      • Jason J. Jung, Geun-Sik Jo
      Pages 169-178

    19. Hierarchy of Logics of Irrational and Conflicting Agents

      • Germano Resconi, Boris Kovalerchuk
      Pages 179-188
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Other volumes

  1. Agent and Multi-Agent Systems: Technologies and Applications

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About this book

st This volume contains papers selected for presentation at the 1 KES Symposium on Agent and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2007), held in Wroclaw, Poland, May 31 – June 1, 2007. The symposium was org- ized by the Institute of Information Science and Engineering, Wroclaw University of Technology, and KES International, as part of the KES Conference Series. The aim of the symposium was to provide an international forum for scientific - search in the technologies and applications of agent and multi-agent systems. Agents and multi-agent systems are related to the modern software which has long been r- ognized as a promising technology for constructing autonomous, complex and intel- gent systems. A key development in the field of agent and multi-agent systems has been the specification of agent communication languages and formalization of - tologies. Agent communication languages are intended to provide standard decla- tive mechanisms for agents to communicate knowledge and make requests of each other, whereas ontologies are intended for conceptualization of the knowledge - main.

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