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Volumn 3020, Issue , 2004, Pages 125-136

Feature-based declarative opponent-modelling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER PROGRAMMING LANGUAGES; PROBLEM ORIENTED LANGUAGES; SOFTWARE AGENTS; SPORTS;

EID: 84943240101     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25940-4_11     Document Type: Conference Paper
Times cited : (15)

References (12)
  • 7
    • 16244421869 scopus 로고    scopus 로고
    • On behavior classification in adversarial environments
    • Lynne E. Parker, George Bekey, Jacob Barhen (eds.), Springer, Heidelberg, Germany
    • Patrick Riley, Manuela Veloso: On Behavior Classification in Adversarial Environments. In Lynne E. Parker, George Bekey, Jacob Barhen (eds.): Distributed Autonomous Robotic Systems 4, Springer, Heidelberg, Germany, pp. 371-380 (2000)
    • (2000) Distributed Autonomous Robotic Systems , vol.4 , pp. 371-380
    • Riley, P.1    Veloso, M.2
  • 10
    • 84957673859 scopus 로고    scopus 로고
    • Rosenbloom: Architectures for agents that track other agents in multi-agent worlds
    • M. Wooldridge, Joerg P. Mueller, M. Tambe (eds.), Springer, Heidelberg, Germany
    • Milind Tambe, Paul S. Rosenbloom: Architectures for Agents that Track Other Agents in Multi-Agent Worlds. In M. Wooldridge, Joerg P. Mueller, M. Tambe (eds.): Proceedings on the IJCAI Workshop on Intelligent Agents II: Agent Theories, Architectures, and Languages, Springer, Heidelberg, Germany, pp. 156-170 (1996)
    • (1996) Proceedings on the IJCAI Workshop on Intelligent Agents II: Agent Theories, Architectures, and Languages , pp. 156-170
    • Tambe, M.1    Paul, S.2
  • 11
    • 58149411184 scopus 로고
    • Features of similarity
    • July
    • A. Tversky: Features of similarity, Psych. Review, 84(4), July 1977, pp. 327-352
    • (1977) Psych. Review , vol.84 , Issue.4 , pp. 327-352
    • Tversky, A.1
  • 12
    • 0004200666 scopus 로고    scopus 로고
    • Complex feature recognition: A Bayesian approach for learning to recognize objects
    • AI Lab, MIT
    • Paul Viola: Complex feature recognition: A bayesian approach for learning to recognize objects. Technical report AIM-1591, AI Lab, MIT, 11, 1996
    • (1996) Technical Report AIM-1591 , pp. 11
    • Viola, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.