Abstract | ||
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In this paper we outline a model which incorporates developmental processes into an evolutionary framework. The model consists of three sectors describing development, genetics, and the selective environment. The formulation of models governing each sector uses dynamical grammars to describe processes in which state variables evolve in a quantitative fashion, and the number and type of participating biological entities can change. This program has previously been elaborated for development. Its extension to the other sectors of the model is discussed here and forms the basis for further approximations. A specific implementation of these ideas is described for an idealized model of the evolution of a multicellular organism. While this model does not describe an actual biological system, it illustrates the interplay of development and evolution. Preliminary results of numerical simulations of this idealized model are presented. |
Year | DOI | Venue |
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1995 | 10.1007/3-540-59046-3_7 | Evolution and Biocomputation |
Keywords | Field | DocType |
preliminary report,numerical simulation,mathematical model,biological systems,environment,development process,biology,mathematical models,dynamics,biochemistry,genetics | Simulated annealing,Rule-based machine translation,Applied mathematics,Biological evolution,Computer science,Theoretical computer science,Fitness function,State variable,Mathematical model,Phase portrait | Conference |
ISBN | Citations | PageRank |
3-540-59046-3 | 1 | 0.47 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eric Mjolsness | 1 | 1058 | 140.00 |
Charles Garrett | 2 | 1 | 0.47 |
J Reinitz | 3 | 258 | 38.69 |
David H. Sharp | 4 | 45 | 12.19 |