DocumentCode
3102661
Title
The Role of Problem Classification in Online Meta-cognition
Author
Alexander, George ; Raja, Anita
Author_Institution
Dept. of Software & Inf. Syst, Univ. of North Carolina at Charlotte, Charlotte, NC
fYear
2006
fDate
18-22 Dec. 2006
Firstpage
218
Lastpage
225
Abstract
Agents operating in open environments must be able to adapt their processing to available resources, deadlines, their goal criteria, and their current problem solving contexts. This paper describes the role of meta-cognition in this process; in particular, we define a meta-cognition framework that uses Naive Bayesian classification of the agent´s current context in order to represent the meta-level control problem as a Markov decision process.
Keywords
Bayes methods; Markov processes; cognitive systems; pattern classification; software agents; Markov decision process; Naive Bayesian classification; meta-level control problem; online meta-cognition; open environments; problem classification; problem solving contexts; Availability; Bayesian methods; Collaborative work; Costs; Information systems; Problem-solving; Scheduling algorithm; Software systems; Time factors; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Agent Technology, 2006. IAT '06. IEEE/WIC/ACM International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2748-5
Type
conf
DOI
10.1109/IAT.2006.118
Filename
4052924
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