Agent and Multi-Agent Systems: Technologies and Applications

1. Front Matter

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2. Main Track 1: Methodological Aspects of Agent Systems

   1. A Method for Validating and Discovering Associations between Multi-level Emergent Behaviours in Agent-Based Simulations

      • Chih-Chun Chen, Sylvia B. Nagl, Christopher D. Clack

      Pages 1-10

   2. Background Sensing Control for Planning Agents Working in the Real World

      • Hisashi Hayashi, Seiji Tokura, Fumio Ozaki, Miwako Doi

      Pages 11-20

   3. Real-Time Neural Networks Application of Micro-Electroforming for Different Geometry Forms

      • Sheau-Wen Shiah, Pai-Yu Chang, Tzeng-Yuan Heh, Po-Hung Lin

      Pages 21-31

   4. On Drawing Conclusions in Presence of Inconsistent Data

      • Sylvia Encheva, Sharil Tumin

      Pages 32-41

   5. Basic Concepts of Knowledge-Based Image Understanding

      • R. Tadeusiewicz, P. S. Szczepaniak

      Pages 42-52

   6. KOSPI Time Series Analysis Using Neural Network with Weighted Fuzzy Membership Functions

      • Sang-Hong Lee, Joon S. Lim

      Pages 53-62

   7. Facilitating MAS Complete Life Cycle through the Protégé-Prometheus Approach

      • Marina V. Sokolova, Antonio Fernández-Caballero

      Pages 63-72

   8. Holonic Multi-agent System Model for Fuzzy Automatic Speech / Speaker Recognition

      • J. J. Valencia-Jiménez, Antonio Fernández-Caballero

      Pages 73-82

   9. Social Semantic Cloud of Tag: Semantic Model for Social Tagging

      • Hak-Lae Kim, John G. Breslin, Sung-Kwon Yang, Hong-Gee Kim

      Pages 83-92

   10. Realization of an Intelligent Frog Call Identification Agent

       • Chenn-Jung Huang, Yi-Ju Yang, Dian-Xiu Yang, You-Jia Chen, Hsiang-Yu Wei

       Pages 93-102

   11. Towards a Distributed Fuzzy Decision Making System

       • Kevin K. F. Yuen, H. C. W. Lau

       Pages 103-112

   12. A Color Set Web-Based Agent System for 2-Dimension Emotion Image Space

       • Pei-Lin Chen, Jen Yen

       Pages 113-121

   13. Approach to Solving Security Problems Using Meta-Agents in Multi Agent System

       • Esmiralda Moradian, Anne Håkansson

       Pages 122-131

   14. A Software Engineering Process for BDI Agents

       • Aaron Hector, Frans Henskens, Michael Hannaford

       Pages 132-141

   15. Design Pattern Based Development Methodology and Support Tool for Multi Agent System

       • Hyunsang Youn, Eunseok Lee

       Pages 142-151

   16. Moving Object Detection and Classification Using Neural Network

       • M. Ali Akber Dewan, M. Julius Hossain, Oksam Chae

       Pages 152-161

   17. Data Integration in a System with Agents’ Models

       • Grażyna Brzykcy

       Pages 162-171

3. Main Track 2: Agent-Oriented Web Applications

   1. A Comparative Study of Two Short Text Semantic Similarity Measures

      • James O’Shea, Zuhair Bandar, Keeley Crockett, David McLean

      Pages 172-181

   2. A User Interface for a Jini-Based Appliances in Ubiquitous Smart Homes

      • Seong Joon Lee, Won Tae Kim, Kwang Seon Ahn

      Pages 182-191

Following from the very successful First KES Symposium on Agent and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2007), held in Wroclaw, Poland, 31 May–1 June 2007, the second event in the KES-AMSTA symposium series (KES-AMSTA 2008) was held in Incheon, Korea, March 26–28, 2008. The symposium was organized by the School of Computer and Information Engineering, Inha University, KES International and the KES Focus Group on Agent and Mul- agent Systems. The KES-AMSTA Symposium Series is a sub-series of the KES Conference Series. The aim of the symposium was to provide an international forum for scientific research into the technologies and applications of agent and multi-agent systems. Agent and multi-agent systems are related to the modern software which has long been recognized as a promising technology for constructing autonomous, complex and intelligent systems. A key development in the field of agent and multi-agent systems has been the specification of agent communication languages and formalization of ontologies. Agent communication languages are intended to provide standard declarative mechanisms for agents to communicate knowledge and make requests of each other, whereas ontologies are intended for conceptualization of the knowledge domain. The symposium attracted a very large number of scientists and practitioners who submitted their papers for nine main tracks concerning the methodology and applications of agent and multi-agent systems, a doctoral track and two special sessions.

• Emotion
• Simulation
• agent technology
• ant colony system
• authentication
• cognition
• data engineering
• data mining
• evolutionary computing
• fuzzy systems
• knowledge-based
• model checking
• modeling
• organization
• robot

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