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Toward Systemic MAS Development:Enforcing Decentralized Self-organization by Composition and Refinement of Archetype Dynamics

机译:迈向系统性MAS发展:通过原型动力学的组成和完善来实现分散的自组织

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The utilization of self-organizing processes promises scalability, robustness and adaptivity in Multi-Agent Systems (MAS), solely based on decentralized coordination of individual actors. Bionic development approaches have been established, which reuse decentralized coordination mechanisms that are derived from natural self-organizing systems. In this paper, we address analysis activities in incremental MAS development, concerning with the derivation of system architectures that enable applications to meet system requirements. As the functional requirements to self-organizing MAS comprise recurring types of system wide dynamics, we propose a systemic approach to analysis and architectural design activities by the iterative refinement of macroscopic dynamics. Based on a catalog of dynamic models of currently applied environment-mediated design metaphors, we discuss how intended MAS dynamics can be modeled and refined to decentralized MAS designs. A systemic design procedure is proposed and exemplified in a case study that demands the combination of two established design metaphors to enable an projected level of MAS adaptivity.
机译:自组织过程的利用保证了多代理系统(MAS)中的可伸缩性,鲁棒性和适应性,这完全基于单个参与者的分散协调。已经建立了仿生发展方法,该方法重用了来自自然自组织系统的分散式协调机制。在本文中,我们讨论了增量MAS开发中的分析活动,涉及与使应用程序满足系统要求的系统体系结构有关。由于自组织MAS的功能需求包括系统范围动力学的重复类型,因此我们通过对宏观动力学的迭代改进,提出了一种用于分析和体系结构设计活动的系统方法。基于当前应用的环境介导的设计隐喻的动态模型目录,我们讨论了如何对预期的MAS动力学进行建模和完善以实现分散式MAS设计。提出了一个系统设计程序,并在一个案例研究中进行了举例说明,该案例要求将两个已建立的设计隐喻结合起来,以实现预计水平的MAS适应性。

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