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Holonic self-organization of multi-agent systems by fuzzy modeling with application to intelligent manufacturing

机译:基于模糊建模的多智能体系统自组织及其在智能制造中的应用

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Holonic manufacturing aims to design standardized, modular manufacturing systems made of interchangeable parts, to enable flexibility, online reconfigurability and self-organizing capabilities for the production systems. Recent advances in distributed artificial intelligence and networking technologies have proven that theoretical multi-agent systems (MAS) concepts are very suitable for the real life implementation of holonic concepts. Building on our recent results in the design and implementation of holonic reconfigurable architectures, the paper introduces a novel approach to the online self-organization of distributed systems. By using fuzzy set and uncertainty theoretical concepts, we construct a mathematical foundation for modeling MAS, where appropriate holonic structures are identified for each particular application. This approach opens new possibilities for the design of any distributed system that needs self-organization as an intrinsic property.
机译:Holonic Manufacturing旨在设计由可互换零件制成的标准化,模块化制造系统,以实现生产系统的灵活性,在线可重新配置性和自组织能力。分布式人工智能和网络技术的最新进展已证明,理论上的多智能体系统(MAS)概念非常适合于完整概念的实际实现。基于我们在整体可重构体系结构的设计和实现方面的最新成果,本文介绍了一种新颖的分布式系统在线自组织方法。通过使用模糊集和不确定性理论概念,我们为MAS建模建立了数学基础,其中为每种特定应用确定了合适的整体结构。这种方法为任何需要自组织作为内在属性的分布式系统的设计提供了新的可能性。

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