000 | 06107nam a22006855i 4500 | ||
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_a9783540451853 _9978-3-540-45185-3 |
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024 | 7 |
_a10.1007/b11833 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
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_aUYQ _2bicssc |
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_aHolonic and Multi-Agent Systems for Manufacturing _h[electronic resource] : _bFirst International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2003, Prague, Czech Republic, September 1-3, 2003, Proceedings / _cedited by Vladimir Marik, Duncan McFarlane, Paul Valckenaers. |
250 | _a1st ed. 2003. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2003. |
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300 |
_aXII, 328 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2744 |
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505 | 0 | _aHolonic Manufacturing Systems – Device Control -- Holonic Manufacturing Systems: Phase II -- A Mechanism for Ensuring Safe Behaviors of Holonic Manufacturing Systems -- A Real-Time Interface for Holonic Control Devices -- Integration of Automation Resources in Holonic Manufacturing Applications -- Foundations/Platforms -- JAVA-Based Agent Platform Evaluation -- An Approach to the Formal Specification of Holonic Control Systems -- Holonic Multiagent Systems: A Foundation for the Organisation of Multiagent Systems -- The Link between Autonomy and Organisation in Multiagent Systems -- Scheduling and Resource Allocation -- Fault-Tolerant Behaviour in Holonic Manufacturing Systems: A Simulation Study -- Multiagent-Based Process Planning and Scheduling in Context of Supply Chains -- Improving Multi-agent Based Scheduling by Neurodynamic Programming -- Agent Architecture for Dynamic Job Routing in Holonic Environment Based on the Theory of Constraints -- Simulation and Integration -- A Heterogeneous Multi-agent Modelling for Distributed Simulation of Supply Chains -- Integration of Shop Floor Holons with Automated Business Processes -- Proposal of Holonic Manufacturing Execution Systems Based on Web Service Technologies for Mexican SMEs -- Multi-agent Systems -- Secure FIPA Compliant Agent Architecture Draft -- Agent Exchange – Virtual Trading Environment -- Adding OWL Semantics to Ontologies Used in Multi-agent Systems for Manufacturing -- Complex Data Integration Based on a Multi-agent System -- A Multi-agent Architecture for Distributed Design -- AgentAllocator: An Agent-Based Multi-criteria Decision Support System for Task Allocation -- Applications -- An Approach to Process Automation Based on Cooperating Subprocess Agents -- Evaluating a Holonic Packing Cell -- FABMAS: An Agent-Based System forProduction Control of Semiconductor Manufacturing Processes -- A Case Study for Modular Plant Control -- Implementation of Mobile-Agent-Based Network Management Systems for National Broadband Experimental Networks in Taiwan -- An Agent-Based Simulator for Electricity Markets: Seller, Buyer, and Trader Players -- AgenTec – Concepts for Agent Technology in Automation -- Cost-Based Dynamic Reconfiguration System for Evolving Holarchies. | |
520 | _aThe increasing complexity of manufacturing systems as well as the overall demands for flexible and fault-tolerant control of production processes stimulates (among many others) two key emerging technologies that are already making an important breakthrough in the field of intelligent manufacturing, control, and diagnostics. These two paradigms are: • the holonic approach based on the event-driven control strategy, usually aimed at modular control systems that are directly physically linked with the manufacturing hardware equipment, and • the multi-agent approach developed in the area of distributed information processing. The research communities working in both these fields are approaching the problem of intelligent manufacturing from different viewpoints and, until recently, to a certain extent, in an independent way. We can however observe quite a clear convergence of these fields in the last few years: the communities have started to cooperate, joining efforts to solve the painful problems involved in achieving effective industrial practice. We can see convergence in the terminology, standards and methods being applied. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aSocial sciences. | |
650 | 0 | _aHumanities. | |
650 | 0 |
_aInformation technology _xManagement. |
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650 | 0 | _aComputer-aided engineering. | |
650 | 0 | _aIndustrial engineering. | |
650 | 0 | _aProduction engineering. | |
650 | 0 | _aProduction management. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aHumanities and Social Sciences. |
650 | 2 | 4 | _aComputer Application in Administrative Data Processing. |
650 | 2 | 4 | _aComputer-Aided Engineering (CAD, CAE) and Design. |
650 | 2 | 4 | _aIndustrial and Production Engineering. |
650 | 2 | 4 | _aOperations Management. |
700 | 1 |
_aMarik, Vladimir. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aMcFarlane, Duncan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aValckenaers, Paul. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540407515 |
776 | 0 | 8 |
_iPrinted edition: _z9783662212110 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2744 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/b11833 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
912 | _aZDB-2-BAE | ||
942 | _cSPRINGER | ||
999 |
_c187891 _d187891 |