메뉴 건너뛰기




Volumn 90, Issue 3, 2007, Pages 769-782

Complex adaptation and system structure

Author keywords

Evolvability; Representations; Structural variability

Indexed keywords

ADAPTATION; COMPLEXITY; FUNCTIONAL ROLE; MODEL VALIDATION; MUTATION;

EID: 35648938050     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystems.2007.03.004     Document Type: Article
Times cited : (14)

References (50)
  • 2
    • 0003090082 scopus 로고
    • Genome growth and the evolution of the genotype-phenotype map
    • Banzhaf W., and Eeckman F.H. (Eds), Springer, Berlin
    • Altenberg L. Genome growth and the evolution of the genotype-phenotype map. In: Banzhaf W., and Eeckman F.H. (Eds). Evolution and Biocomputation: Computational Models of Evolution (1995), Springer, Berlin 205-259
    • (1995) Evolution and Biocomputation: Computational Models of Evolution , pp. 205-259
    • Altenberg, L.1
  • 3
    • 0035397522 scopus 로고    scopus 로고
    • Information geometry on hierarchy of probability distributions
    • Amari S. Information geometry on hierarchy of probability distributions. IEEE Trans. Inform. Theory 47 (2001) 1701-1711
    • (2001) IEEE Trans. Inform. Theory , vol.47 , pp. 1701-1711
    • Amari, S.1
  • 5
    • 85194586329 scopus 로고    scopus 로고
    • Baluja, S., 1994. Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning, Tech. Re CMU-CS-94-163. Comp. Sci. Dep., Carnegie Mellon U.
  • 7
    • 0037135177 scopus 로고    scopus 로고
    • Regulation of cerebral cortical size by control of cell cycle exit in neural precursors
    • Chenn A., and Walsh C.A. Regulation of cerebral cortical size by control of cell cycle exit in neural precursors. Science 297 (2002) 365-369
    • (2002) Science , vol.297 , pp. 365-369
    • Chenn, A.1    Walsh, C.A.2
  • 9
    • 78049265488 scopus 로고    scopus 로고
    • MIMIC: finding optima by estimating probability densities
    • Mozer M.C., Jordan M.I., and Petsche T. (Eds), The MIT Press
    • de Bonet J.S., Isbell C.L., and Viola Jr. P. MIMIC: finding optima by estimating probability densities. In: Mozer M.C., Jordan M.I., and Petsche T. (Eds). Advances in Neural Information Processing Systems, vol. 9 (1997), The MIT Press 424
    • (1997) Advances in Neural Information Processing Systems, vol. 9 , pp. 424
    • de Bonet, J.S.1    Isbell, C.L.2    Viola Jr., P.3
  • 11
    • 27744454167 scopus 로고    scopus 로고
    • Attention, short-term memory, and action selecetion: a unifying theory
    • Deco G., and Rolls E.T. Attention, short-term memory, and action selecetion: a unifying theory. Prog. Neurobiol. 76 (2005) 236-256
    • (2005) Prog. Neurobiol. , vol.76 , pp. 236-256
    • Deco, G.1    Rolls, E.T.2
  • 12
    • 0032577365 scopus 로고    scopus 로고
    • Continuity in evolution: on the nature of transitions
    • Fontana W., and Schuster P. Continuity in evolution: on the nature of transitions. Science 280 (1998) 1431-1433
    • (1998) Science , vol.280 , pp. 1431-1433
    • Fontana, W.1    Schuster, P.2
  • 13
    • 0028944665 scopus 로고
    • Induction of ectopic eyes by targeted expression of the eyeless gene in Drosophila
    • Halder G., Callaerts P., and Gehring W. Induction of ectopic eyes by targeted expression of the eyeless gene in Drosophila. Science 267 (1995) 1788-1792
    • (1995) Science , vol.267 , pp. 1788-1792
    • Halder, G.1    Callaerts, P.2    Gehring, W.3
  • 14
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaption in evolutionary strategies
    • Hansen N., and Ostermeier A. Completely derandomized self-adaption in evolutionary strategies. Evol. Comput. 9 (2001) 159-195
    • (2001) Evol. Comput. , vol.9 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 15
    • 0035007367 scopus 로고    scopus 로고
    • Epistasis and the mutation load: a measurement-theoretical approach
    • Hansen T.F., and Wagner G.P. Epistasis and the mutation load: a measurement-theoretical approach. Genetics 158 (2001) 477-485
    • (2001) Genetics , vol.158 , pp. 477-485
    • Hansen, T.F.1    Wagner, G.P.2
  • 16
    • 0035198377 scopus 로고    scopus 로고
    • Modeling genetic architecture: a multilinear model of gene interaction
    • Hansen T.F., and Wagner G.P. Modeling genetic architecture: a multilinear model of gene interaction. Theor. Popul. Biol. 59 (2001) 61-86
    • (2001) Theor. Popul. Biol. , vol.59 , pp. 61-86
    • Hansen, T.F.1    Wagner, G.P.2
  • 17
    • 85194571549 scopus 로고    scopus 로고
    • Hornby, G.S., 2003. Generative representations for evolutionary design automation, Ph.D. Dissertation, Brandeis University Dept. of Computer Science.
  • 19
    • 0035581148 scopus 로고    scopus 로고
    • Evolving L-systems to generate virtual creatures
    • Hornby G.S., and Pollack J.B. Evolving L-systems to generate virtual creatures. Comput. Graph. 25 (2001) 1041-1048
    • (2001) Comput. Graph. , vol.25 , pp. 1041-1048
    • Hornby, G.S.1    Pollack, J.B.2
  • 20
    • 0023058710 scopus 로고
    • DNA and the neutral theory, philosophical transactions
    • Kimura M. DNA and the neutral theory, philosophical transactions. Roy. Soc. London B312 (1986) 343-354
    • (1986) Roy. Soc. London , vol.B312 , pp. 343-354
    • Kimura, M.1
  • 23
    • 23044456701 scopus 로고    scopus 로고
    • The evolution of the neocortex: how is phenotypic diversity generated?
    • Krubitzer L., and Kaas J. The evolution of the neocortex: how is phenotypic diversity generated?. Curr. Opin. Neurobiol. 15 (2005) 444-453
    • (2005) Curr. Opin. Neurobiol. , vol.15 , pp. 444-453
    • Krubitzer, L.1    Kaas, J.2
  • 24
    • 0031557885 scopus 로고    scopus 로고
    • What exactly are genoes, genotypes and phenotypes? And what about phenomes?
    • Mahner M., and Kray M. What exactly are genoes, genotypes and phenotypes? And what about phenomes?. J. Theor. Biol. 186 (1997) 55-63
    • (1997) J. Theor. Biol. , vol.186 , pp. 55-63
    • Mahner, M.1    Kray, M.2
  • 25
    • 0345504778 scopus 로고    scopus 로고
    • Schemata, distributions and graphical models in evolutionary optimization
    • Mühlenbein H., Mahnig T., and Rodriguez A.O. Schemata, distributions and graphical models in evolutionary optimization. J. Heuristics 5 (1999) 215-247
    • (1999) J. Heuristics , vol.5 , pp. 215-247
    • Mühlenbein, H.1    Mahnig, T.2    Rodriguez, A.O.3
  • 26
    • 85194539374 scopus 로고    scopus 로고
    • Nimwegen, E., Crutchfield, J.P., 1999. Neutral evolution of mutational robustness, Santa Fe Working Paper 99-07-041.
  • 29
    • 0034276591 scopus 로고    scopus 로고
    • Linkage problem, distribution estimation, and Bayesian networks
    • Pelikan M., Goldberg D.E., and Cantú-Paz E. Linkage problem, distribution estimation, and Bayesian networks. Evol. Comput. 9 (2000) 311-340
    • (2000) Evol. Comput. , vol.9 , pp. 311-340
    • Pelikan, M.1    Goldberg, D.E.2    Cantú-Paz, E.3
  • 30
    • 85194533452 scopus 로고    scopus 로고
    • Pelikan, M., Goldberg, D.E., Lobo, F., 1999. A survey of optimization by building and using probabilistic models, Tech. Rep. IlliGAL-99018, Illinois Genetic Algorithms Laboratory.
  • 33
    • 0031879153 scopus 로고    scopus 로고
    • The evolution of canalization and the breaking of von Bear's laws: Modeling the evolution of development with epistatis
    • Rice S.H. The evolution of canalization and the breaking of von Bear's laws: Modeling the evolution of development with epistatis. Evolution 52 (1998) 647-656
    • (1998) Evolution , vol.52 , pp. 647-656
    • Rice, S.H.1
  • 34
    • 0002120587 scopus 로고    scopus 로고
    • The evolution of developmental interactions: Epistasis, canalization, and integration
    • Wolf J.E.B., and Wade III M. (Eds), Oxford University Press, New York
    • Rice S.H. The evolution of developmental interactions: Epistasis, canalization, and integration. In: Wolf J.E.B., and Wade III M. (Eds). Epistasis and the Evolutionary Process (2000), Oxford University Press, New York 82-98
    • (2000) Epistasis and the Evolutionary Process , pp. 82-98
    • Rice, S.H.1
  • 35
    • 0017728436 scopus 로고
    • A systems-analytical approach to macro-evolutionary phenomena
    • Riedl R. A systems-analytical approach to macro-evolutionary phenomena. Quart. Rev. Biol. 52 (1977) 351-370
    • (1977) Quart. Rev. Biol. , vol.52 , pp. 351-370
    • Riedl, R.1
  • 36
    • 85194573055 scopus 로고    scopus 로고
    • Rosca, J.P., Ballard, D.H., 1994. Genetic programming with adaptive representations, Tech. Rep. TR 489, Computer Science Department, University of Rochester, NY.
  • 37
    • 0028196714 scopus 로고
    • From sequences to shapes and back: a case study in RNA secondary structures
    • Schuster P., Fontana W., Stadler P.F., and Hofacker I.L. From sequences to shapes and back: a case study in RNA secondary structures. Proc. Roy. Soc. B255 (1994) 279-284
    • (1994) Proc. Roy. Soc. , vol.B255 , pp. 279-284
    • Schuster, P.1    Fontana, W.2    Stadler, P.F.3    Hofacker, I.L.4
  • 38
    • 34347131550 scopus 로고
    • Die Lernmatrix
    • Steinbuch K. Die Lernmatrix. Kybernetik 1 (1961) 36-45
    • (1961) Kybernetik , vol.1 , pp. 36-45
    • Steinbuch, K.1
  • 39
    • 24944480981 scopus 로고    scopus 로고
    • Effective fitness as an alternative paradigm for evolutionary computation I: general formalism
    • Stephens C.R., and Vargas J.M. Effective fitness as an alternative paradigm for evolutionary computation I: general formalism. Genet. Prog. Evol. Mach. 1 (2000) 363-378
    • (2000) Genet. Prog. Evol. Mach. , vol.1 , pp. 363-378
    • Stephens, C.R.1    Vargas, J.M.2
  • 41
    • 4344680895 scopus 로고    scopus 로고
    • On the evolution of phenotypic exploration distributions
    • Cotta C., De Jong K., Poli R., and Rowe J. (Eds), Morgan Kaufmann
    • Toussaint M. On the evolution of phenotypic exploration distributions. In: Cotta C., De Jong K., Poli R., and Rowe J. (Eds). Foundations of Genetic Algorithms vol. 7 (2003), Morgan Kaufmann 169-182
    • (2003) Foundations of Genetic Algorithms vol. 7 , pp. 169-182
    • Toussaint, M.1
  • 43
    • 33746837771 scopus 로고    scopus 로고
    • Compact representations as a search strategy: compression EDAs
    • Toussaint M. Compact representations as a search strategy: compression EDAs. Theor. Comput. Sci. 361 (2006) 57-71
    • (2006) Theor. Comput. Sci. , vol.361 , pp. 57-71
    • Toussaint, M.1
  • 44
    • 0029661331 scopus 로고    scopus 로고
    • Does evolutionary plasticity evolve?
    • Wagner A. Does evolutionary plasticity evolve?. Evolution 50 (1996) 1008-1023
    • (1996) Evolution , vol.50 , pp. 1008-1023
    • Wagner, A.1
  • 45
    • 0029661332 scopus 로고    scopus 로고
    • Complex adaptations and the evolution of evolvability
    • Wagner G.P., and Altenberg L. Complex adaptations and the evolution of evolvability. Evolution 50 (1996) 967-976
    • (1996) Evolution , vol.50 , pp. 967-976
    • Wagner, G.P.1    Altenberg, L.2
  • 46
    • 0030617955 scopus 로고    scopus 로고
    • A population genetic theory of canalization
    • Wagner G.P., Booth G., and Bagheri-Chaichian H. A population genetic theory of canalization. Evolution 51 (1997) 329-347
    • (1997) Evolution , vol.51 , pp. 329-347
    • Wagner, G.P.1    Booth, G.2    Bagheri-Chaichian, H.3
  • 47
    • 0004254590 scopus 로고    scopus 로고
    • Genetic measurement theory of epistatic effects
    • Wagner G.P., Laubichler M.D., and Bagheri-Chaichian H. Genetic measurement theory of epistatic effects. Genetica 102/103 (1998) 569-580
    • (1998) Genetica , vol.102-103 , pp. 569-580
    • Wagner, G.P.1    Laubichler, M.D.2    Bagheri-Chaichian, H.3
  • 48
    • 0034696453 scopus 로고    scopus 로고
    • Modeling the evolution of genetic architecture: a contimuum of alleles model with pairwise A × A epistatis
    • Wagner G.P., and Mezey J. Modeling the evolution of genetic architecture: a contimuum of alleles model with pairwise A × A epistatis. J. Theor. Biol. 203 (2000) 163-175
    • (2000) J. Theor. Biol. , vol.203 , pp. 163-175
    • Wagner, G.P.1    Mezey, J.2
  • 49
    • 0037403316 scopus 로고    scopus 로고
    • A computational model of symbiotic composition in evolutionary transitions, Biosystems
    • Watson R.A., and Pollack J.B. A computational model of symbiotic composition in evolutionary transitions, Biosystems. Special Issue Evolv. 69 (2002) 187-209
    • (2002) Special Issue Evolv. , vol.69 , pp. 187-209
    • Watson, R.A.1    Pollack, J.B.2
  • 50
    • 0034895529 scopus 로고    scopus 로고
    • Adaptive evolution on neutral networks
    • Wilke C.O. Adaptive evolution on neutral networks. Bull. Math. Biol. 63 (2001) 715-730
    • (2001) Bull. Math. Biol. , vol.63 , pp. 715-730
    • Wilke, C.O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.