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Volumn 2, Issue , 2004, Pages 1618-1624

Coevolution and tartarus

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC PROGRAMMING SYSTEMS; HISTOGRAMS; PARASITES; TARTARUS AGENTS;

EID: 4344717566     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (20)
  • 5
    • 0030050932 scopus 로고    scopus 로고
    • Preferential partner selection in an evolutionary study of prisoner's dilemma
    • Daniel Ashlock, Mark Smucker, E. Ann Stanley, and Leigh Tesfatsion. Preferential partner selection in an evolutionary study of prisoner's dilemma. Biosystems, 37:99-125, 1996.
    • (1996) Biosystems , vol.37 , pp. 99-125
    • Ashlock, D.1    Smucker, M.2    Stanley, E.A.3    Tesfatsion, L.4
  • 6
    • 21044448959 scopus 로고    scopus 로고
    • Lessons from the common cold: How reducing parasite virulence improves coevoluitonary optimization
    • IEEE Press
    • John Cartlidge and Seth Bullock. Lessons from the common cold: How reducing parasite virulence improves coevoluitonary optimization. In Proceedings of the 2002 Congress on Evolutionary Computation, pages 1420-1425. IEEE Press, 2002.
    • (2002) Proceedings of the 2002 Congress on Evolutionary Computation , pp. 1420-1425
    • Cartlidge, J.1    Bullock, S.2
  • 7
    • 4344687948 scopus 로고    scopus 로고
    • Challenges in coevolutionary learning: Armsrace dynamics, open-endedness, and mediocre stable states
    • Adami et al, editor, Cambridge, MA. MIT Press
    • S. Ficici and J. Pollack. Challenges in coevolutionary learning: Armsrace dynamics, open-endedness, and mediocre stable states. In Adami et al, editor, Proceedings of the Sixth International Conference on Artificial Life, pages 238-247, Cambridge, MA, 1998. MIT Press.
    • (1998) Proceedings of the Sixth International Conference on Artificial Life , pp. 238-247
    • Ficici, S.1    Pollack, J.2
  • 8
    • 2542616308 scopus 로고    scopus 로고
    • A game-theoretic approach to the simple coevolutionary algorithm
    • Cantu-Paz et.al., editor. Springer Verlag
    • S. Ficici and J. Pollack. A game-theoretic approach to the simple coevolutionary algorithm. In Cantu-Paz et.al., editor, Proceedings of hte 2003 Genetic and Evolutionary Computation Conference, pages 467-476. Springer Verlag, 2003.
    • (2003) Proceedings of Hte 2003 Genetic and Evolutionary Computation Conference , pp. 467-476
    • Ficici, S.1    Pollack, J.2
  • 10
    • 0000157651 scopus 로고
    • Co-evolving parasites improve simulated evolution as an optimization procedure
    • Christopher Langten, editor, Reading. Addison-Wesley
    • W. Daniel Hillis. Co-evolving parasites improve simulated evolution as an optimization procedure. In Christopher Langten, editor, Artificial Life II, volume 10 of Santa Fe Institute Studies in the Sciences of Complexity, pages 313-324, Reading, 1991. Addison-Wesley.
    • (1991) Artificial Life II, Volume 10 of Santa Fe Institute Studies in the Sciences of Complexity , pp. 313-324
    • Hillis, W.D.1
  • 12
    • 0004071377 scopus 로고    scopus 로고
    • On sensor evolution in robotics
    • MIT Press
    • Vasant Honovar and Karthik Balakrishnan. On sensor evolution in robotics. In GP 96, pages 455-460. MIT Press, 1996.
    • (1996) GP 96 , pp. 455-460
    • Honovar, V.1    Balakrishnan, K.2
  • 14
    • 34250090619 scopus 로고
    • Learning with genetic algorithms: An overview
    • Kenneth De Jong. Learning with genetic algorithms: An overview. Machine Lerning, 3:121-138, 1988.
    • (1988) Machine Lerning , vol.3 , pp. 121-138
    • De Jong, K.1
  • 16
    • 0029689630 scopus 로고    scopus 로고
    • The coevolution of automata in the repeated prisoner's dilemma
    • John H. Miller. The coevolution of automata in the repeated prisoner's dilemma. Journal of Economic Behaviour and Organisation, 29:87-112, 1996.
    • (1996) Journal of Economic Behaviour and Organisation , vol.29 , pp. 87-112
    • Miller, J.H.1
  • 17
    • 0032156067 scopus 로고    scopus 로고
    • Co-evolution in the successful learning of backgammon strategy
    • Jordan B. Pollack and Alan D. Blair. Co-evolution in the successful learning of backgammon strategy. Machine Learning, 32(3):225-240, 1998.
    • (1998) Machine Learning , vol.32 , Issue.3 , pp. 225-240
    • Pollack, J.B.1    Blair, A.D.2
  • 18
    • 0031082536 scopus 로고    scopus 로고
    • New methods for competitive coevolution
    • Christopher D. Rosin and Richard K. Belew. New methods for competitive coevolution. Evolutionary Computation, 5(1): 1-29, 1997.
    • (1997) Evolutionary Computation , vol.5 , Issue.1 , pp. 1-29
    • Rosin, C.D.1    Belew, R.K.2
  • 19
    • 0003362676 scopus 로고
    • The evolution of mental models
    • Kenneth Kinnear, editor, chapter 9. The MIT Press
    • Astro Teller. The evolution of mental models. In Kenneth Kinnear, editor, Advances in Genetic Programming, chapter 9. The MIT Press, 1994.
    • (1994) Advances in Genetic Programming
    • Teller, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.