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020 _a9783540318316
_9978-3-540-31831-6
024 7 _a10.1007/11537847
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aHolonic and Multi-Agent Systems for Manufacturing
_h[electronic resource] :
_bSecond International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005, Proceedings /
_cedited by Vladimir Marik, Robert W. Brennan, Michal Pechoucek.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aXII, 276 p. 76 illus., 6 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3593
505 0 _aInvited 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 SupplyChains Based on Ontologies -- Experiments Toward a Practical Implementation of an Intelligent Kanban System.
520 _aThe 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.
650 0 _aArtificial intelligence.
_93407
650 0 _aInformation technology
_xManagement.
_95368
650 0 _aComputer-aided engineering.
_914016
650 0 _aComputers.
_98172
650 0 _aProduction management.
_99536
650 0 _aBusiness information services.
_928705
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
_931735
650 2 4 _aComputing Milieux.
_955441
650 2 4 _aOperations Management.
_931773
650 2 4 _aIT in Business.
_933373
700 1 _aMarik, Vladimir.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9159700
700 1 _aBrennan, Robert W.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9159701
700 1 _aPechoucek, Michal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9159702
710 2 _aSpringerLink (Online service)
_9159703
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540282372
776 0 8 _iPrinted edition:
_z9783540814153
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3593
_9159704
856 4 0 _uhttps://doi.org/10.1007/11537847
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