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
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;
Conference_Titel :
Intelligent Agent Technology, 2006. IAT '06. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2748-5
DOI :
10.1109/IAT.2006.118