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Recipe, Policy and Self-Organizing: A Hybrid Collaboration Approach for Agent-Based Cooperative Design

机译:配方,策略和自组织:基于Agent的协作设计的混合协作方法

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Cooperative design is distinguished from other cooperative behaviors by its inherent requirement for creativity. It is usually an ill-structured problem without complete and precise prescription. However, current agent-based cooperative design systems, which simply apply traditional multi-agent models to the domain of cooperative design, lack the adaptation to meet this essential requirement, so cannot be well applied. This paper proposes a hybrid multi-agent collaboration mode integrating determinate (recipe-guided) collaboration, policy-compliant collaboration and self-organizing mechanism for cooperative design. Determinate collaboration is suitable for those problems with determinate solutions in the design, while policy-compliant collaboration and self-organizing mechanism have advantages in dynamic regulations and loosely-coupled collaboration, which is necessary for creative work. They are complementary to each problem domain. Hence the hybrid mode is adaptive and flexible to broad organizing requirements of cooperative design process. The RPACPI agent model constructed for the hybrid collaboration mode is the core of the system, and thus formally specified in this paper. A case study is also given in this paper
机译:合作设计因其对创造力的内在要求而与其他合作行为区分开。没有完整而精确的处方,这通常是一个结构不良的问题。但是,当前仅将传统的多智能体模型应用于协作设计领域的基于主体的协作设计系统缺乏适应能力,无法满足这一基本要求,因此无法很好地应用。本文提出了一种混合的多主体协作模式,该模式集成了确定的(配方指导)协作,符合策略的协作和自组织机制以进行协作设计。确定性协作适用于设计中具有确定性解决方案的那些问题,而符合策略的协作和自组织机制在动态规则和松散耦合的协作中具有优势,这是创造性工作所必需的。它们是每个问题领域的补充。因此,混合模式是自适应的,并且可以灵活地满足协作设计过程的广泛组织需求。为混合协作模式构建的RPA CPI 代理模型是系统的核心,因此在本文中进行了正式说明。本文还进行了案例研究

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