Title :
Entailment as a logical basis for incremental generation of causal relations
Author :
Cheng, Jingde ; Ushijima, Kazuo
Author_Institution :
Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka, Japan
Abstract :
A problem in knowledge engineering is investigated in order to determine how to generate automatically new valid causal relations from some known causal relations (e.g. given with the IF-THEN form). The authors discuss this problem from a logical viewpoint and propose using the entailment that is a primitive logical basis for the incremental generation of causal relations. After a brief comparison between relevance logics and entailment logic, the authors define a subclass of entailment logic, given an algebraic model for it, show its soundness based on the model, and discuss deductive entailment reasoning based on the logic. As a result, for given causal relations, new valid causal relations can be generated by deductive entailment reasoning based on the logic
Keywords :
artificial intelligence; knowledge engineering; algebraic model; causal relations; deductive entailment reasoning; incremental generation; knowledge engineering; logical basis; primitive logical basis; Building materials; Computer science; Concrete; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Logic functions; Sufficient conditions;
Conference_Titel :
Computer Software and Applications Conference, 1989. COMPSAC 89., Proceedings of the 13th Annual International
Conference_Location :
Orlando, FL
Print_ISBN :
0-8186-1964-3
DOI :
10.1109/CMPSAC.1989.65171