论文部分内容阅读
本系统收集了天津市领域专家的经验,由编译性人工智能语言TurboProlog实现,共由七个模块-知识率、推理机构、解释机构、半自动人工知识获取、知识库管理、动态数据库和人机接口组成。本系统利用产生式规则表达知识,知识库中有多达1242条规则。在推理机构中,采用两类策略:启发式正向和反向推理方法,并利用黑板结构作为公共动态数据区。。提供了半自动人工知识获取以能获取新知识、丰富和更新知识库。在黑板上保留的推理进程是解释机构的素材。总系统共占用118KB内存,在IBM PC AT微机上运行正常,起到了总结和推广领域专家诊断与治疗乳腺癌经验的作用。
This system collects the experience of experts in the field of Tianjin and realizes it by the compiled artificial intelligence language TurboProlog. It consists of seven modules - knowledge rate, reasoning institution, interpretation institution, semi-automatic artificial knowledge acquisition, knowledge base management, dynamic database and man-machine interface composition. The system uses the rules of production to express knowledge, there are up to 1242 rules in the knowledge base. In reasoning institutions, two types of strategies are used: heuristic forward and backward reasoning methods, and blackboard structures as public dynamic data areas. . Provides semi-automatic acquisition of artificial knowledge to gain new knowledge, enrich and update knowledge base. The reasoning process that is kept on the blackboard is to explain the agency’s material. The total system occupies a total of 118KB of memory, operating properly in the IBM PC AT microcomputer, played a summary and promotion of experts in the field of diagnosis and treatment of breast cancer experience.