Agent and Multi-Agent Systems: Technologies and Applications: Second Kes International Symposium, Kes-Amsta 2008, Incheon, Korea, March 26-28, 2008, P (Paperback, 2008)

Main Track 1: Methodological Aspects of Agent Systems.- A Method for Validating and Discovering Associations between Multi-level Emergent Behaviours in Agent-Based Simulations.- Background Sensing Control for Planning Agents Working in the Real World.- Real-Time Neural Networks Application of Micro-Electroforming for Different Geometry Forms.- On Drawing Conclusions in Presence of Inconsistent Data.- Basic Concepts of Knowledge-Based Image Understanding.- KOSPI Time Series Analysis Using Neural Network with Weighted Fuzzy Membership Functions.- Facilitating MAS Complete Life Cycle through the Protege-Prometheus Approach.- Holonic Multi-agent System Model for Fuzzy Automatic Speech / Speaker Recognition.- Social Semantic Cloud of Tag: Semantic Model for Social Tagging.- Realization of an Intelligent Frog Call Identification Agent.- Towards a Distributed Fuzzy Decision Making System.- A Color Set Web-Based Agent System for 2-Dimension Emotion Image Space.- Approach to Solving Security Problems Using Meta-Agents in Multi Agent System.- A Software Engineering Process for BDI Agents.- Design Pattern Based Development Methodology and Support Tool for Multi Agent System.- Moving Object Detection and Classification Using Neural Network.- Data Integration in a System with Agents' Models.- Main Track 2: Agent-Oriented Web Applications.- A Comparative Study of Two Short Text Semantic Similarity Measures.- A User Interface for a Jini-Based Appliances in Ubiquitous Smart Homes.- A Study of Meta-Search Agent Based on Tags and Ontological Approach for Improving Web Searches.- An Agent Using Matrix for Backward Path Search on MANET.- A Personalized URL Re-ranking Methodology Using User's Browsing Behavior.- Library Services as Multi Agent System.- Main Track 3: Ontology Management.- Ontology Methodology Based Context Awareness Using System Entity Structure for Network Analysis.- A Scalable Framework for Distributed Ontologies.- Bridging Semantic Gap in Distant Communication: Ontology-Based Approach.- Using Meta-agents to Reason with Multiple Ontologies.- Adaptive Information Provisioning in an Agent-Based Virtual Organization-Ontologies in the System.- Main Track 4: Multi-agent Resource Allocation.- Resource and Remembering Influences on Acquaintance Networks.- A Formalization for Distributed Cooperative Sensor Resource Allocation.- Ant Colony Programming with the Candidate List.- A Rough Set Approach on Supply Chain Dynamic Performance Measurement.- Analyzing Knowledge Exchanges in Hybrid MAS GIS Decision Support Systems, Toward a New DSS Architecture.- Multi-agent System for Custom Relationship Management with SVMs Tool.- Main Track 5: Cooperation, Coordination, and Teamwork.- A Model for Fuzzy Grounding of Modal Conjunctions in Artificial Cognitive Agents.- An Integrated Argumentation Environment for Arguing Agents.- Agent Collaboration for Multiple Trading Strategy Integration.- Strategy Acquisition on Multi-issue Negotiation without Estimating Opponent's Preference.- Predictor Agent for Online Auctions.- Discovering Behavior Patterns in Muti-agent Teams.- Fuzzy Logic for Cooperative Robot Communication.- An Approach to Event-Driven Algorithm for Intelligent Agents in Multi-agent Systems.- Agvs Distributed Control Subject to Imprecise Operation Times.- On the Multi-threading Approach of Efficient Multi-agent Methodology for Modelling Cellular Communications Bandwidth Management.- Main Track 6: Agents for Network Management.- Design of the Architecture for Agent of the Personality Security in the Ubiquitous Environment.- The Multi Agent System Solutions for Wireless Sensor Network Applications.- A Study of Implanted and Wearable Body Sensor Networks.- Complexity of Road Networks as Agents' Environments.- Resource Limitations, Transmission Costs and Critical Thresholds in Scale-Free Networks.- Main Track 7: Multi-agent Learning.- Temporal Difference Learning and Simulated Annealing for Optimal Control: A Case Study.- Separating Learning