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BDI AGENTS WITH FUZZY ASSOCIATIVE MEMORY FOR VESSEL BERTHING IN CONTAINER PORTS

机译:BDI代理具有模糊关联记忆,用于集装箱端口的船只堆积

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Faster turnaround time of the vessels in berths has direct impact on the improvement of terminals productivity. The need for an intelligent system that dynamically adapts to the changing environment is apparent, as there is limited number of berths and resources available in container terminals for delivering services to vessels. BDI (Beliefs, Desires and Intentions) agents are being proposed in a complex collaborative environment in the vessel scheduling assuring better management and control in the terminal. BDI agents to deal with many criteria and different goals with uncertain beliefs, it is proposed that fuzzy associative memory to use in the planning process of the BDI architecture facilitating better decision making in the whole process. In this paper we propose hybrid BDI architecture with fuzzy associative memory in handling uncertainty issues of the vessel berthing in container terminals. Execution of Plans in a collaborative multi agent environment would be strengthened with the introduction of fuzzy associative memory in BDI agents.
机译:泊位中船舶的速度更快地对终端生产力的提高产生了直接影响。对于动态适应变化环境的智能系统的需求很明显,因为容器终端中有限数量的泊位和资源,用于向船只提供服务。 BDI(信念,欲望和意图)代理商在船舶调度安排在终端中的更好管理和控制方面的复杂协作环境中提出。 BDI代理商以不确定的信念处理许多标准和不同的目标,建议在BDI架构的规划过程中使用模糊关联记忆,便于整个过程中更好地决策。在本文中,我们提出了具有模糊关联记忆的混合BDI架构,在处理集装箱终端中的船舶停泊的不确定性问题时。在BDI代理商中引入模糊关联内存,将加强协同多代理环境中的计划的计划。

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