A generalized knowledge-based framework for belief change

Author

Silva, Paulo Camargo

Author_Institution

Erlangen-Nurnberg Univ., Germany

fYear

1995

Firstpage

728

Lastpage

733

Abstract

Recently we have seen a large development about knowledge-based framework in distributed systems. A model of knowledge for distributed system supposes an intelligent relationship between the agents of the system. The contemporaries research has introduced uncertainties methods in knowledge-based framework for distributed system. In this article we present a formal structure to introduce methods of uncertainty in models of knowledge for distributed systems. Basically we substitute the plausibility spaces in knowledge-based framework for fuzzy spaces and moreover we claim that the Kripke structure with fuzzy measures generalizes Kripke structures with plausibility and probability

Keywords

belief maintenance; knowledge based systems; probability; uncertainty handling; Kripke structure; belief change; distributed systems; formal structure; fuzzy measures; generalized knowledge-based framework; plausibility; probability; uncertainties methods; Extraterrestrial measurements; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Intelligent agent; Intelligent systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on

Conference_Location

College Park, MD

Print_ISBN

0-8186-7126-2

Type

conf

DOI

10.1109/ISUMA.1995.527785

Filename

527785