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Design of a distributed software architecture for an intelligent planning system

机译:智能计划系统的分布式软件架构设计

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The paper describes the design of a distributed software architecture for an intelligent planning system based on a process model of cognitive systems (PMCS). PMCS is described in terms of its problem-solving behaviour and structure, and is illustrated through a simple case study in robotics. In the PMCS model, autonomous knowledge sources, each implementing a component of the system's functionality, co-operate by message-passing in order to maintain a distributed model of the system's environment and to synthesise decisions based on the model. Simulation tools developed at the University of Westminster for the rapid prototyping of parallel systems have been used to simulate the software architecture based on PMCS. Simulation results for the planning case study are presented in order to demonstrate the effectiveness of PMCS in solving planning problems in a distributed manner.
机译:本文介绍了基于认知系统(PMCS)的过程模型的智能计划系统的分布式软件体系结构的设计。通过解决问题的行为和结构来描述PMCS,并通过一个简单的机器人案例研究进行说明。在PMCS模型中,每个自治知识源都实现了系统功能的一部分,它们通过消息传递进行协作,以维护系统环境的分布式模型并基于该模型综合决策。威斯敏斯特大学为并行系统的快速原型开发的仿真工具已用于仿真基于PMCS的软件体系结构。给出了计划案例研究的仿真结果,以证明PMCS在分布式解决计划问题中的有效性。

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