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Multiagent System Technologies: 5th German Conference, MATES 2007, Leipzig, Germany, September 24-26, 2007, Proceedings: Lecture Notes in Computer Science, cartea 4687

Editat de Paolo Petta, Jörg Müller, Matthias Klusch, Michael Georgeff
en Limba Engleză Paperback – 12 sep 2007

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Specificații

ISBN-13: 9783540749486
ISBN-10: 3540749489
Pagini: 222
Ilustrații: X, 210 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.32 kg
Ediția:2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Engineering Multi-agent Systems.- Multi-Agent System: A Guiding Metaphor for the Organization of Software Development Projects.- Model Transformation for Model Driven Development of Semantic Web Enabled Multi-Agent Systems.- SmartResource Platform and Semantic Agent Programming Language (S-APL).- Multi-agent Planning and Learning.- Subgoal Identification for Reinforcement Learning and Planning in Multiagent Problem Solving.- Medical Image Segmentation by a Multi-Agent System Approach.- Using DESs for Temporal Diagnosis of Multi-agent Plan Execution.- Multi-agent Communication, Interaction, and Coordination.- Agent Communication Using Web Services, a New FIPA Message Transport Service for Jade.- Goal-Oriented Interaction Protocols.- Multi-agent Resource Allocation.- VWM: An Improvement to Multiagent Coordination in Highly Dynamic Environments.- Dynamic Configurable Auctions for Coordinating Industrial Waste Discharges.- Distributed Clustering of Autonomous Shipping Containers by Concept, Location, and Time.- Coordinating Competitive Agents in Dynamic Airport Resource Scheduling.- Multi-agent Planning and Simulation.- Large-Scale Agent-Based Pedestrian Simulation.- Diagnosis of Plan Structure Violations.- Team Cooperation for Plan Recovery in Multi-agent Systems.- Trust and Reputation.- On the Behaviour of the TRSIM Model for Trust and Reputation.- Implementing ReGreT in a Decentralized Multi-agent Environment.