JOURNAL ARTICLE

Abductive analogical reasoning

K Abe

Year: 2000 Journal:   Systems and Computers in Japan Vol: 31 (1)Pages: 11-11   Publisher: Wiley

Abstract

If a knowledge base does not have all of the necessary clauses for reasoning, ordinary hypothetical reasoning systems cannot explain observations. In this case, it is necessary to explain such observations by abductive reasoning, supplemental reasoning, or approximate reasoning. The inference in this paper explains the observation by supplementing missing knowledge with reference to similar knowledge when an observation cannot be explained because necessary knowledge is lacking. However, it is somewhat difficult to find clauses to explain an observation without hints. Therefore, an abductive strategy (CMS) is used to find missing clauses. A piece of knowledge which is similar to the missing knowledge is sought in the knowledge base and mapped to the knowledge in the same problem domain as the missing knowledge. Then the observation is explained by generated hypotheses similar to the knowledge in the knowledge base. © 1999 Scripta Technica, Syst Comp Jpn, 31(1): 11–19, 2000

Keywords:
Knowledge base Abductive reasoning Inference Computer science Model-based reasoning Domain knowledge Deductive reasoning Knowledge-based systems Artificial intelligence Non-monotonic logic Knowledge representation and reasoning Missing data Question answering Knowledge extraction Domain (mathematical analysis) Natural language processing Machine learning Mathematics

Metrics

2
Cited By
0.42
FWCI (Field Weighted Citation Impact)
0
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Logic, Reasoning, and Knowledge
Physical Sciences →  Computer Science →  Artificial Intelligence
AI-based Problem Solving and Planning
Physical Sciences →  Computer Science →  Artificial Intelligence

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