Research on Computational Aids to Intellectual Discovery

智力发现的计算辅助研究

基本信息

批准号：
06044276
负责人：
FURUKAWA Kouichi
金额：
--
依托单位：
KEIO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Overseas Scientific Survey.
财政年份：
1994
资助国家：
日本
起止时间：
1994 至无数据
项目状态：
已结题

项目摘要

The subject of the joint Anglo-Japanese research initiative is"Machine intelligence tools for discovery in science and technology."In particular, we studied the use of three approaches :*Inductive Logic Programming*Neural network and related statistical learning techniques*Database miningIn more detail, we investigated how to realize discovery and creation by computer using an Inductive Logic Programming system PROGOLdeveloped by Muggleton. As a result, we found that it is possible toachieve higher order concept learning and analogical reasoning by introducing new predicates in background knowledge in the input of PROGOL.Furthermore, we investigated how to discover knowledge in database and found the necessity to extract relevant information from database to adjust as an input to PROGOL.Also we found the importance of creating appropriate"negative examples"and"background knowledge". Then, we pursued the possibility to parallelize PROGOL in order to achieve high efficiency for dealing with large database. As an application of ILP,we picked up natural language processing. We investigated the Japanese correspondence to the verb"break"by investigating the degree of affinity to various nouns by cognitive psychological experiments and obtained a rule for predicting the affinity to a new noun. In scientific discovery, it is essential to be able to refute a wholehypothsis space by just investigating finite number of hypothesis. We found it possible to achieve such refutability of hypothsis spaces for a fairly large class of hypothsis spaces.

The subject of the joint Anglo-Japanese research initiative is"Machine intelligence tools for discovery in science and technology."In particular, we studied the use of three approaches :*Inductive Logic Programming*Neural network and related statistical learning techniques*Database miningIn more detail, we investigated how to realize discovery and creation by computer using an Inductive Logic Programming system PROGOLdeveloped by Muggleton.结果，我们发现，通过在progol的输入中引入新谓词来实现高阶概念学习和类似推理。Furthermore。我们研究了如何发现数据库中的知识，并发现从数据库中提取相关信息以适应对Progol的投入。然后，我们追求并行化progol的可能性，以实现高效率来处理大型数据库。作为ILP的应用，我们选择了自然语言处理。我们通过认知心理实验调查了对各种名词的亲和力，并获得了预测新名词的亲和力的规则，从而调查了日本与动词“中断”的对应。在科学发现中，必须仅通过研究有限的假设来反驳全能空间。我们发现，有可能在相当大的假设空间中实现假设空间的这种可比性。