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Holonic and Multi-Agent Systems for Manufacturing : Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005, Proceedings / edited by Vladimir Marik, Robert W. Brennan, Michal Pechoucek.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Mařík, Vladimír, editor.
Brennan, Robert W., editor.
Pěchouček, Michal, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 3593.
Lecture Notes in Artificial Intelligence ; 3593
Language:
English
Subjects (All):
Artificial intelligence.
Application software.
Computer-aided engineering.
Computers.
Production management.
Information technology.
Business--Data processing.
Business.
Artificial Intelligence.
Computer Appl. in Administrative Data Processing.
Computer-Aided Engineering (CAD, CAE) and Design.
Computing Milieux.
Operations Management.
IT in Business.
Local Subjects:
Artificial Intelligence.
Computer Appl. in Administrative Data Processing.
Computer-Aided Engineering (CAD, CAE) and Design.
Computing Milieux.
Operations Management.
IT in Business.
Physical Description:
1 online resource (XII, 276 pages) : 76 illustrations, 6 illustrations in color.
Edition:
First edition 2005.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
System Details:
text file PDF
Summary:
The challenge faced in today's manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-cost products that can be delivered quickly. The systems that deliver these expectations are by nature distributed, concurrent, and stochastic, and, as a result, increasingly difficult to manage. Unfortunately, the traditional hierarchical, strictly centralized approach to control used in these domains is characteristically inflexible, fragile, and difficult to maintain. These shortcomings have led to the development of a new class of manufacturing and supply-chain decision-making approaches in recent years. Solutions based on these approaches usually explore a set of highly distributed decision-making units that are capable of autonomous operations while cooperating interactively to resolve larger problems. The units, referred to as agents in classical computer science and software engineering, or holons if physically integrated with the manufacturing hardware, interact by exchanging information. These units are motivated by arriving at local solutions as well as collaborating and sharing resources and goals in solving the overall problem in question collectively.
Contents:
Invited Papers
Experience with Holonic and Agent-Based Control Systems and Their Adoption by Industry
Fundamental Insights into Holonic Systems Design
A 3D Visualization and Simulation Framework for Intelligent Physical Agents
Theoretical and Methodological Issues
MAS Methodology for HMS
Probabilistic Holons for Efficient Agent-Based Data Mining and Simulation
An Information-Based Agent
Algorithms and Technologies
Designing Communication Protocols for Holonic Control Devices Using Elementary Nets
A Proposal of Multi-agent Negotiation Mechanism Based on Dynamic Market Concept for Pareto Optimal Solution
Integrating Transportation Ontologies Using Semantic Web Languages
Implementation and Validation Aspects
A Strategy to Implement and Validate Industrial Applications of Holonic Systems
Experimental Validation of ADACOR Holonic Control System
A Proxy Design Pattern to Support Real-Time Distributed Control System Benchmarking
Applications
Information Access and Control Operations in Multi-agent System Based Process Automation
An Initial Automation Object Repository for OOONEIDA
Towards Engineering Methods for Reconfiguration of Distributed Real-Time Control Systems Based on the Reference Model of IEC 61499
Using Radio Frequency Identification in Agent-Based Manufacturing Control Systems
Resolving Scheduling Issues of the London Underground Using a Multi-agent System
KARMEN: Multi-agent Monitoring and Notification for Complex Processes
Simulation of Underwater Surveillance by a Team of Autonomous Robots
Supply Chain Management
A Reference-Model for Holonic Supply Chain Management
Polymorphic Agent Clusters - The Concept to Design Multi-agent Environments Supporting Business Activities
Configuration of Dynamic SME Supply Chains Based on Ontologies
Experiments Toward a Practical Implementation of an Intelligent Kanban System.
Other Format:
Printed edition:
ISBN:
978-3-540-31831-6
9783540318316
Access Restriction:
Restricted for use by site license.

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