메뉴 건너뛰기




Volumn 3, Issue , 2003, Pages 2194-2201

Neuroevolution for adaptive teams

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; EVOLUTIONARY ALGORITHMS;

EID: 84901409124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299944     Document Type: Conference Paper
Times cited : (53)

References (18)
  • 1
    • 0003404197 scopus 로고    scopus 로고
    • PhD thesis, Georgia Institute of Technology. Technical Report GIT-CC-98-25
    • Balch, T. (1998). Behavioral Diversity in Learning Robot Teams. PhD thesis, Georgia Institute of Technology. Technical Report GIT-CC-98-25.
    • (1998) Behavioral Diversity in Learning Robot Teams
    • Balch, T.1
  • 2
    • 0024861871 scopus 로고
    • Approximation by super positions of a sigmoidal function
    • Cybenko, G. (1989). Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals, and Systems, 2(4): 303-314.
    • (1989) Mathematics of Control, Signals, and Systems , vol.2 , Issue.4 , pp. 303-314
    • Cybenko, G.1
  • 3
    • 26444565569 scopus 로고
    • Finding structure in time
    • Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14:179-211.
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 4
  • 5
    • 0031287711 scopus 로고    scopus 로고
    • Incremental evolution of complex general behavior
    • Gomez, F., and Miikkulainen, R. (1997). Incremental evolution of complex general behavior. Adaptive Behavior, 5:317-342.
    • (1997) Adaptive Behavior , vol.5 , pp. 317-342
    • Gomez, F.1    Miikkulainen, R.2
  • 11
    • 0029690502 scopus 로고    scopus 로고
    • Subsymbolic case-role analysis of sentences with embedded clauses
    • Miikkulainen, R. (1996). Subsymbolic case-role analysis of sentences with embedded clauses. Cognitive Science, 20:47-73.
    • (1996) Cognitive Science , vol.20 , pp. 47-73
    • Miikkulainen, R.1
  • 12
    • 0003871202 scopus 로고    scopus 로고
    • PhD thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report UT-AI97-257
    • Moriarty, D. E. (1997). Symbiotic Evolution of Neural Networks in Sequential Decision Tasks, PhD thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report UT-AI97-257.
    • (1997) Symbiotic Evolution of Neural Networks in Sequential Decision Tasks
    • Moriarty, D.E.1
  • 13
    • 10444270597 scopus 로고    scopus 로고
    • Forming neural networks through efficient and adaptive co- evolution
    • Moriarty, D. E., and Miikkulainen, R. (1997). Forming neural networks through efficient and adaptive co- evolution. Evolutionary Computation, 5:373-399.
    • (1997) Evolutionary Computation , vol.5 , pp. 373-399
    • Moriarty, D.E.1    Miikkulainen, R.2
  • 15
    • 34547736781 scopus 로고    scopus 로고
    • Shaping in reinforcement learning by changing the physics of the problem
    • Morgan Kaufmann, San Francisco, CA
    • Randlov, J. (2000). Shaping in reinforcement learning by changing the physics of the problem. In Proc. 17th International Conf. on Machine Learning, 767-774. Morgan Kaufmann, San Francisco, CA.
    • (2000) Proc. 17th International Conf. on Machine Learning , pp. 767-774
    • Randlov, J.1
  • 17
    • 0000675237 scopus 로고
    • Evolutionary artificial neural networks
    • Kent, A. and Williams, J. G. editors, Marcel Dekker Inc
    • Yao, X. (1995). Evolutionary artificial neural networks. In Kent, A., and Williams, J. G., editors, Encyclopedia of Computer Science and Technology, vol. 33, 137-170. Marcel Dekker Inc.
    • (1995) Encyclopedia of Computer Science and Technology , vol.33 , pp. 137-170
    • Yao, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.