摘要
本文介绍利用人工智能技术,并结合机械设计的特点构造了一种基于黑板结构的目标级推理模式.用黑板结构描述任务求解状态,每一个任务完成一定的功能,并根据当前黑板状态确定下一步应执行的任务.黑板结构的任务规划模式用框架来表示.框架结构中记录了该任务采用的控制策略,知识源和控制方向等信息,保证了控制推理的灵活性.本文还描述了基于黑板结构的目标级推理在装载机工作装置设计专家系统中的应用.
By makjng use of artificial intelligence techniques and in the light of the characteristics of mechanical design, this paper establishes a goal reasoning model based on blackboard architecture, in which the problem solving state is described by a blackboard. Each task performs a specified function and determines the next task to be executed according to the present state of the blackboard. The task model of blackboard is represented by frame which shows the information about the control stratigies, knowledge sources and control direction, which ensure the controlling and reasoning flexibility. This paper also introduces the application of the goal reasoning based on blackboard architecture in expert system for designing a loader's working mechanism.
出处
《西安石油学院学报》
1992年第3期35-39,共5页
Journal of Xi'an Petroleum Institute
关键词
机械设计
专家系统
推理
黑板
machine design
expert system
reasoning model
blackboard
goal
