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Titlebook: Industrial Applications of Holonic and Multi-Agent Systems; 6th International Co Vladimír Ma?ík,Jose L. Martinez Lastra,Petr Skobel Confere

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樓主: LH941
41#
發(fā)表于 2025-3-28 16:19:09 | 只看該作者
42#
發(fā)表于 2025-3-28 20:41:47 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/463944.jpg
43#
發(fā)表于 2025-3-29 00:04:01 | 只看該作者
44#
發(fā)表于 2025-3-29 06:06:07 | 只看該作者
Industrial Applications of Holonic and Multi-Agent Systems978-3-642-40090-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
45#
發(fā)表于 2025-3-29 07:24:58 | 只看該作者
Conference proceedings 2013d talks were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: MAS in automation and manufacturing; design, simulation and validation; MAS in transportation systems; industrial applications; and new trends.
46#
發(fā)表于 2025-3-29 14:18:52 | 只看該作者
Production Plan-Driven Flexible Assembly Automation Architecturetion of the developed system on a demonstration plant shows the aptness for discrete manufacturing. The developed system with its flexibility on the lowest control level can also serve as a foundation for highly flexible supervising control strategies like the HMS approach.
47#
發(fā)表于 2025-3-29 16:38:26 | 只看該作者
48#
發(fā)表于 2025-3-29 23:42:12 | 只看該作者
Phase Agents and Dynamic Routing for Batch Process AutomationIn the context of material transfers, a route finding algorithm is introduced for dynamically calculating suitable routes. Moreover, demonstration applications are presented to show the feasibility of the approach.
49#
發(fā)表于 2025-3-30 01:10:33 | 只看該作者
Structural Self-organized Holonic Multi-Agent Manufacturing Systems need for embedding in it learning techniques and nervousness stabilizer. A futuristic test bed, inspired in a real flexible-manufacturing system, is used to demonstrate the benefits of this vector in the architecture.
50#
發(fā)表于 2025-3-30 04:02:47 | 只看該作者
Towards an Ontology for Small Series Productionysis, we identify five requirements for the type of knowledge to be captured in ontology, and then proceed to propose a first version of such an ontology addressing these requirements, thus providing an appropriate semantic base for intelligent, associative tools that can effectively support ramp-up management.
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