Title :
Diversity and unity of uncertainty theories
Author_Institution :
Dept. of Syst. Sci. & Ind. Eng., Binghamton Univ., Binghamton, NY
Abstract :
An overview of basic ideas and results emerging from a research program known as Generalized Information Theory (GIT) is presented in the context of the area of intelligent systems. The aim of this research program is to study the concepts of uncertainty and uncertainty-based information in all their manifestations. In GIT, the primary concept is uncertainty and information is defined in terms of reduction of relevant uncertainty.
Keywords :
artificial intelligence; fuzzy set theory; uncertainty handling; generalized information theory; intelligent systems; uncertainty theories; uncertainty-based information; Artificial intelligence; Constraint theory; Fuzzy sets; Humans; Information theory; Intelligent systems; Natural languages; Possibility theory; Set theory; Uncertainty; generalized information theory (GIT); imprecise probabilities; information; intelligent systems; uncertainty;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670393
