DocumentCode :
453895
Title :
To Illustrate the Benefit of Using Fuzzy Logic as Part of the Reasoning Model for Knowledge Worker Assisting Agents
Author :
Shia, Angie F.
Author_Institution :
Dept. of Comput. Sci., California State Univ., Chico, CA
Volume :
1
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
565
Lastpage :
571
Abstract :
A knowledge worker (KW) is anyone who has a special skill. It is a waste of resource for the KW to spend time doing errands or things that does not require expertise, such as look up the Web for something or run some simple process. A knowledge worker assisting agent or a KW agent can help a KW do such errands. A KW agent usually contains algorithms or logic to process pre-determined, commonly used or commercially available programs. Down the line, KW agents can be extended to assist any human user that is not necessarily a knowledge worker
Keywords :
case-based reasoning; fuzzy logic; natural languages; software agents; case-based reasoning model; fuzzy logic; knowledge worker assisting agent; Automatic control; Business; Computational intelligence; Computational modeling; Computer science; Fuzzy logic; Fuzzy sets; Humans; Natural languages; Search engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631323
Filename :
1631323
Link To Document :
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