DocumentCode :
1673516
Title :
Fuzzy anchoring
Author :
Coradeschi, S. ; Driankov, D. ; Karlsson, L. ; Saffiotti, A.
Author_Institution :
Dept. of Technol., Orebro Univ., Sweden
Volume :
1
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
111
Lastpage :
114
Abstract :
An intelligent physical agent must incorporate motor and perceptual processes to interface with the physical world, and abstract cognitive processes to reason about the world and the options available. One crucial aspect of incorporating cognitive processes into a physically embedded reasoning system is the integration between the symbols used by the reasoning processes to denote physical objects, and the perceptual data corresponding to these objects. We treat this integration aspect by proposing a fuzzy computational theory of anchoring. Anchoring is the process of creating and maintaining the correspondence between symbols and percepts that refer to the same physical objects. Modeling this process using fuzzy set-theoretic notions enables dealing with perceptual data that can be affected by uncertainty/imprecision and imprecise/vague linguistic descriptions of objects
Keywords :
fuzzy logic; inference mechanisms; abstract cognitive processes; cognitive processes; fuzzy anchoring; fuzzy computational theory; fuzzy set-theoretic notions; intelligent physical agent; motor processes; perceptual processes; physically embedded reasoning system; reasoning processes; Artificial intelligence; Fuzzy sets; Intelligent agent; Intelligent sensors; Machine vision; Mobile robots; Robot sensing systems; Robot vision systems; Sensor systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
Type :
conf
DOI :
10.1109/FUZZ.2001.1007259
Filename :
1007259
Link To Document :
بازگشت