Title :
Conceptual Space and Reasoning Method of Intelligent System
Author_Institution :
Sch. of Comput. Sci., Xi´´an Shiyou Univ., Xi´´an, China
Abstract :
The uncertain knowledge expression and reasoning are the hotspot and core of artificial intelligence research. In the paper two concepts, concept space and abstract concept degree are presented based on fuzzy set. Abstract concept degree describe the conceptual hierarchic in its space. Three reasoning forms and their changeable membership grade are discussed. In a intelligent system the membership grade depends on evaluation function to reach steady state.
Keywords :
fuzzy set theory; inference mechanisms; abstract concept degree; artificial intelligence; concept space; conceptual space; evaluation function; fuzzy set; intelligent system; membership grade; reasoning method; uncertain knowledge expression; Agriculture; Artificial intelligence; Cognition; Computer science; Fuzzy sets; Fuzzy systems; Humans; Intelligent systems; Reflection; Steady-state; Abstract concept degree; Decision-making reasoning; Longitudinal reasoning; Recollection reasoning;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.212
