메뉴 건너뛰기




Volumn 26, Issue 4, 2012, Pages 349-375

Programming agent behavior by learning in simulation models

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; BEHAVIORAL RESEARCH; DECISION TREES; REINFORCEMENT LEARNING;

EID: 84861056993     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839514.2012.652906     Document Type: Article
Times cited : (21)

References (23)
  • 5
    • 0009356695 scopus 로고
    • Antfarm: Towards simulated evolution
    • Santa Fe, NM: Addison-Wesley
    • Collins, R. J., and, D. R. Jefferson. 1991. Antfarm: Towards simulated evolution. In Artificial life II, 579-601. Santa Fe, NM: Addison-Wesley.
    • (1991) Artificial Life II , pp. 579-601
    • Collins, R.J.1    Jefferson, D.R.2
  • 7
    • 7444263056 scopus 로고    scopus 로고
    • On customizing evolutionary learning of agent behavior
    • Advances in Artificial Intelligence
    • Denzinger, J., and, A. Schur. 2004. On customizing evolutionary learning of agent behavior. In Advances in artificial intelligence, Vol. 3060 of Lecture notes in computer science, eds. A. Tawfik. and S. Goodwin., 146-160. Berlin/Heidelberg, Springer. (Pubitemid 38761343)
    • (2004) Lecture Notes in Computer ScienceIENCE , Issue.3060 , pp. 146-160
    • Denzinger, J.1    Schur, A.2
  • 8
    • 84976984248 scopus 로고
    • The evolution of strategies for multi-agent environments
    • Grefenstette, J. 1987. The evolution of strategies for multi-agent environments. Adaptive Behavior 1: 65-90.
    • (1987) Adaptive Behavior , vol.1 , pp. 65-90
    • Grefenstette, J.1
  • 10
    • 78049373494 scopus 로고    scopus 로고
    • Evaluation of techniques for a learning-driven modeling methodology in multiagent simulation
    • eds. J. Dix and C. Witteveen, Berlin/Heidelberg: Springer
    • Junges, R., and, F. Klgl. 2010a. Evaluation of techniques for a learning-driven modeling methodology in multiagent simulation. In Multiagent system technologies, Vol. 6251 of Lecture notes in computer science, eds. J. Dix. and C. Witteveen., 185-196. Berlin/Heidelberg: Springer.
    • (2010) Multiagent System Technologies, Vol. 6251 of Lecture Notes in Computer Science , pp. 185-196
    • Junges, R.1    Klgl, F.2
  • 13
    • 83155184682 scopus 로고    scopus 로고
    • Modeling agent behavior through online evolutionary and reinforcement learning
    • Szczecin, Poland
    • Junges, R., and, F. Klgl. 2011b. Modeling agent behavior through online evolutionary and reinforcement learning. In MAS&S workshop at FedCSIS 2011, Szczecin, Poland.
    • (2011) MAS&S Workshop at FedCSIS 2011
    • Junges, R.1    Klgl, F.2
  • 15
    • 31944452755 scopus 로고    scopus 로고
    • Learning enabled cooperative agent behavior in an evolutionary and competitive environment
    • DOI 10.1007/s00521-005-0020-z
    • Lee, M. R., and, E.-K. Kang. 2006. Learning enabled cooperative agent behavior in an evolutionary and competitive environment. Neural Computing & Applications 15: 124-135. (Pubitemid 43192039)
    • (2006) Neural Computing and Applications , vol.15 , Issue.2 , pp. 124-135
    • Lee, M.R.1    Kang, E.-K.2
  • 16
    • 0026880130 scopus 로고
    • Automatic programming of behavior-based robots using reinforcement learning
    • Mahadevan, S., and, J. Connell. 1992. Automatic programming of behavior-based robots using reinforcement learning. Artificial Intelligence 55 (2-3): 311-365. (Pubitemid 23565211)
    • (1992) Artificial Intelligence , vol.55 , Issue.2-3 , pp. 311-365
    • Mahadevan Sridhar1    Connell Jonathan2
  • 23
    • 33750687531 scopus 로고    scopus 로고
    • Sample-efficient evolutionary function approximation for reinforcement learning
    • Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
    • Whiteson, S., and, P. Stone. 2006. Sample-efficient evolutionary function approximation for reinforcement learning. In Proceedings of the twenty-first national conference on artificial intelligence. 518-23. Boston, MA: AAAI Press. (Pubitemid 44705336)
    • (2006) Proceedings of the National Conference on Artificial Intelligence , vol.1 , pp. 518-523
    • Whiteson, S.1    Stone, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.