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Volumn 818, Issue , 2011, Pages 50-58

Context-dependent incremental intention recognition through bayesian network model construction

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORK MODELS; CONTEXT DEPENDENT; CONTEXTUAL INFORMATION; DOMAIN EXPERTS; INTENTION RECOGNITION; ITERATED PRISONER'S DILEMMA; KNOWLEDGE BASE; SIMPLE STRUCTURES;

EID: 84892515640     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (22)
  • 1
    • 78751686390 scopus 로고    scopus 로고
    • Goal recognition with variable-order markov models
    • M.G. Armentano and A. Amandi. Goal recognition with variable-order markov models. In IJCAI'09.
    • IJCAI'09
    • Armentano, M.G.1    Amandi, A.2
  • 2
    • 13444253014 scopus 로고    scopus 로고
    • Statistical goal parameter recognition
    • N. Blaylock and J. Allen. Statistical goal parameter recognition. In ICAPS04, pages 297-304.
    • ICAPS04 , pp. 297-304
    • Blaylock, N.1    Allen, J.2
  • 3
    • 0003975273 scopus 로고
    • Intention, plans, and practical reason. The David hume series
    • M. E. Bratman. Intention, Plans, and Practical Reason. The David Hume Series, CSLI, 1987.
    • (1987) CSLI
    • Bratman, M.E.1
  • 5
    • 84892504500 scopus 로고    scopus 로고
    • Axiomatizing noisy-or
    • F. G. Cozman. Axiomatizing noisy-or. In ECAI'04.
    • ECAI'04
    • Cozman, F.G.1
  • 6
    • 67349165700 scopus 로고    scopus 로고
    • A probabilistic plan recognition algorithm based on plan tree grammars
    • C. W. Geib and R. P. Goldman. A probabilistic plan recognition algorithm based on plan tree grammars. Artificial Intelligence, 173:1101-1132, 2009.
    • (2009) Artificial Intelligence , vol.173 , pp. 1101-1132
    • Geib, C.W.1    Goldman, R.P.2
  • 7
    • 78650935812 scopus 로고    scopus 로고
    • Sample search: Importance sampling in presence of determinism
    • V. Gogate and R. Dechter. SampleSearch: Importance sampling in presence of determinism. Artificial Intelligence, 175(2):694-729, 2011.
    • (2011) Artificial Intelligence , vol.175 , Issue.2 , pp. 694-729
    • Gogate, V.1    Dechter, R.2
  • 8
    • 80054816533 scopus 로고    scopus 로고
    • The role of intention recognition in the evolution of cooperative behavior
    • T. A. Han, L. M. Pereira, and F. C. Santos. The role of intention recognition in the evolution of cooperative behavior. In IJCAI'2011.
    • (2011) IJCAI
    • Han, T.A.1    Pereira, L.M.2    Santos, F.C.3
  • 9
    • 80051992677 scopus 로고    scopus 로고
    • Intention recognition promotes the emergence of cooperation
    • T. A. Han, L. M. Pereira, and F. C. Santos. Intention recognition promotes the emergence of cooperation. Adaptive Behavior, 2011.
    • (2011) Adaptive Behavior
    • Han, T.A.1    Pereira, L.M.2    Santos, F.C.3
  • 12
    • 0001670678 scopus 로고    scopus 로고
    • The lumière project: Bayesian user modeling for inferring the goals and needs of software users
    • E. Horvitz, J. Breese, D. Heckerman, D. Hovel, and K. Rommelse. The lumière project: Bayesian user modeling for inferring the goals and needs of software users. In UAI'98, pages 256-265, 1998.
    • (1998) UAI'98 , pp. 256-265
    • Horvitz, E.1    Breese, J.2    Heckerman, D.3    Hovel, D.4    Rommelse, K.5
  • 13
    • 37249020564 scopus 로고    scopus 로고
    • MEBN: A language for first-order Bayesian knowledge bases
    • K. B. Laskey. MEBN: A language for first-order Bayesian knowledge bases. Artificial Intelligence, 172(2-3):140-178, 2008.
    • (2008) Artificial Intelligence , vol.172 , Issue.2-3 , pp. 140-178
    • Laskey, K.B.1
  • 14
    • 0043115676 scopus 로고    scopus 로고
    • Network fragments: Representing knowledge for constructing probabilistic models
    • K.B. Laskey and S.M. Mahoney. Network fragments: Representing knowledge for constructing probabilistic models. In UAI'97, 1997.
    • (1997) UAI'97
    • Laskey, K.B.1    Mahoney, S.M.2
  • 18
    • 80052019068 scopus 로고    scopus 로고
    • Intention recognition with evolution prospection and causal Bayesian networks
    • Springer
    • L. M. Pereira and T. A. Han. Intention recognition with evolution prospection and causal Bayesian networks. In Computational Intelligence for Engineering Systems, pages 1-33. Springer, 2011.
    • (2011) Computational Intelligence for Engineering Systems , pp. 1-33
    • Pereira, L.M.1    Han, T.A.2
  • 19
    • 0012348933 scopus 로고    scopus 로고
    • Pook: A system for probabilistic objectoriented knowledge representation
    • A. Pfeffer, D. Koller, B. Milch, and Ken T. Takusagawa. Pook: A system for probabilistic objectoriented knowledge representation. In UAI'99, 1999.
    • (1999) UAI'99
    • Pfeffer, A.1    Koller, D.2    Milch, B.3    Takusagawa, K.T.4
  • 22
    • 0002047712 scopus 로고
    • A generalization of the noisy-or model
    • S. Srinivas. A generalization of the noisy-or model. In UAI'93, 1993.
    • (1993) UAI'93
    • Srinivas, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.