• 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