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Volumn FS-10-02, Issue , 2010, Pages 33-39

The metacognitive loop: An architecture for building robust intelligent systems

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; TECHNICAL PRESENTATIONS;

EID: 79960133750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 1
    • 84951576265 scopus 로고
    • The TRAINS project: A case study in building a conversational planning agent
    • Allen, J.F., et al., The TRAINS project: a case study in building a conversational planning agent. Journal of Experimental and Theoretical AI, 1995.
    • (1995) Journal of Experimental and Theoretical AI
    • Allen, J.F.1
  • 2
    • 33748702264 scopus 로고    scopus 로고
    • The Metacognitive Loop I: Enhancing Reinforcement Learning with Metacognitive Monitoring and Control for Improved Perturbation Tolerance
    • Anderson, M., Oates, T., Chong, W., Perlis, D., The Metacognitive Loop I: Enhancing Reinforcement Learning with Metacognitive Monitoring and Control for Improved Perturbation Tolerance. Journal of Experimental and Theoretical Artificial Intelligence, 18(3), pp. 387-411, 2006.
    • (2006) Journal of Experimental and Theoretical Artificial Intelligence , vol.18 , Issue.3 , pp. 387-411
    • Anderson, M.1    Oates, T.2    Chong, W.3    Perlis, D.4
  • 7
    • 0041110156 scopus 로고
    • PhD thesis, Department of Computer Science, University of Maryland, College Park
    • Elgot-Drapkin, J., Step-logic: Reasoning Situated in Time. PhD thesis, Department of Computer Science, University of Maryland, College Park, 1988.
    • (1988) Step-logic: Reasoning Situated in Time
    • Elgot-Drapkin, J.1
  • 8
    • 85148686343 scopus 로고
    • Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains
    • San Francisco: Morgan Kaufmann Publishers
    • Gil, Y., Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains. In Proceedings of the Eleventh International Conference on Machine Learning, 87-95, 1994. San Francisco: Morgan Kaufmann Publishers.
    • (1994) Proceedings of the Eleventh International Conference on Machine Learning , pp. 87-95
    • Gil, Y.1
  • 13
    • 15744405865 scopus 로고    scopus 로고
    • PhD thesis, Department of Computer Science, University of Maryland, College Park
    • Purang, K., Systems that detect and repair their own mistakes, PhD thesis, Department of Computer Science, University of Maryland, College Park, 2001.
    • (2001) Systems That Detect and Repair Their Own Mistakes
    • Purang, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.