知识库状态空间中的搜索策略

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2024-07-22 DOI:10.3103/S000510552470016X

N. I. Sidnyaev, Yu. I. Butenko, E. E. Sineva

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引用次数: 0

摘要

研究考虑了智力系统中知识库状态空间的搜索策略。显示了从任务的初始数据到目标以及反向的搜索方向。分析了在特定应用条件下通向目标的规则和可接受的移动，当它们成为新的搜索目标或子目标时。问题解决模块被用作数据驱动搜索和目标驱动搜索的搜索策略。结果表明，目标的选择取决于待解决问题的结构。介绍了将词库嵌入概率模型以优化信息检索的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Search Strategies in the State Space of Knowledge Bases

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Search Strategies in the State Space of Knowledge Bases

Search strategies in the state space of knowledge bases in intellectual systems are considered. The directions of search from the initial data of the task to the goal and in reverse direction are shown. Rules and admissible moves leading to the goal in certain conditions of their application, when they become new search goals or subgoals, are analyzed. The problem-solving module is used as a search strategy for both data-driven and goal-driven search. It is shown that the choice of goal depends on the structure of the problem to be solved. The method of embedding the thesaurus into a probabilistic model for optimizing information retrieval is described.

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

期刊介绍： Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.