Title :
A generalized knowledge-based framework for belief change
Author :
Silva, Paulo Camargo
Author_Institution :
Erlangen-Nurnberg Univ., Germany
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;
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
DOI :
10.1109/ISUMA.1995.527785