Abstract
We present a model that considers evolvable symbiotic associations between species, such that one species can have an influence over the likelihood of other species being present in its environment. We show that this process of ‘symbiotic evolution’ leads to rare and adaptively significant complexes that are unavailable via non-associative evolution.
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References
Thompson, J.N.: The Coevolutionary Process. Chicago (1994)
Mayr, E.: What Evolution is. Phoenix, London (2001)
Dunbar, H.E., Wilson, A.C.C., Ferguson, N.R., Moran, N.A.: Aphid thermal tolerance is governed by a point mutation in bacterial symbionts. PLoS Biology 5(5), e96 (2007)
Margulis, L.: The Symbiotic Planet. Phoenix, London (1998)
Khakhina, L.N.: Concepts of Symbiogenesis. Yale University Press, New Haven (1992)
Maynard Smith, J., Szathmáry, E.: The major transitions in evolution. Oxford University Press, Oxford (1995)
Margulis, L., Dolan, M.F., Guerrero, R.: Origin of the nucleus from the karyomastigontin amitochondriate protists. PNAS 97(13), 6954–6959 (2000)
Watson, R.A., Palmius, N., Mills, R., Powers, S., Penn, A.: Can selfish symbioses effect higher-level selection? In: ECAL (2009)
Mills, R., Watson, R.A.: Variable discrimination of crossover versus mutation using parameterized modular structure. In: GECCO, pp. 1312–1319 (2007)
Watson, R.A., Pollack, J.B.: A computational model of symbiotic composition in evolutionary transitions. Biosystems 69(2-3), 187–209 (2003)
Defaweux, A., Lenaerts, T., van Hemert, J.I.: Evolutionary transitions as a metaphor for evolutionary optimisation. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds.) ECAL 2005. LNCS (LNAI), vol. 3630, pp. 342–352. Springer, Heidelberg (2005)
Mills, R., Watson, R.A.: Symbiosis, synergy and modularity: Introducing the reciprocal synergy symbiosis algorithm. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds.) ECAL 2007. LNCS (LNAI), vol. 4648, pp. 1192–1201. Springer, Heidelberg (2007)
de Jong, E.D., Watson, R.A., Thierens, D.: On the complexity of hierarchical problem solving. In: GECCO, pp. 1201–1208 (2005)
Philemotte, C., Bersini, H.: A gestalt genetic algorithm: less details for better search. In: Procs. GECCO, pp. 1328–1334 (2007)
Houdayer, J., Martin, O.C.: Renormalization for discrete optimization. Physical Review Letters 83, 1030–1033 (1999)
Iclanzan, D., Dumitrescu, D.: Overcoming hierarchical difficulty by hill-climbing the building block structure. In: GECCO, pp. 1256–1263 (2007)
Krasnogor, N., Smith, J.: A tutorial for competent memetic algorithms. IEEE Transactions on Evolutionary Computation 9(5), 474–488 (2005)
Watson, R.A., Jansen, T.: A building-block royal road where crossover is provably essential. In: GECCO, pp. 1452–1459 (2007)
Mills, R., Watson, R.A.: Adaptive units of selection can evolve complexes that are provably unevolvable under fixed units of selection (abstract). In: ALIFE XI, p. 785 (2008)
Mills, R., Watson, R.A.: Dynamic problem decomposition via evolved symbiotic associations (in preparation)
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Mills, R., Watson, R.A. (2011). Symbiosis Enables the Evolution of Rare Complexes in Structured Environments. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5778. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21314-4_14
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DOI: https://doi.org/10.1007/978-3-642-21314-4_14
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