Transient Phenomena in Learning and Evolution: Genetic Assimilation and Genetic Redistribution

Deacon has recently proposed that complexes of genes can be integrated into functional groups as a result of environmental changes that mask and unmask selection pressures. For example, many animals endogenously synthesize ascorbic acid (vitamin C), but anthropoid primates have only a nonfunctional version of the crucial gene for this pathway. It is hypothesized that the loss of functionality occurred in the evolutionary past when a diet rich in vitamin C masked the effect of the gene, and its loss effectively trapped the animals in a fruit-eating lifestyle. As a result, the complex of abilities that support this lifestyle were evolutionarily bound together, forming a multilocus complex. In this study we use evolutionary computation simulations to explore the thesis that masking and unmasking can transfer dependence from one set of genes to many sets, and thereby integrate the whole complex of genes. We used a framework based on Hinton and Nowlan's 1987 simulation of the Baldwin effect. Additional gene complexes and an environmental parameter were added to their basic model, and the fitness function extended. The simulation clearly demonstrates that the genetic redistribution effect can occur in silico, showing an initial advantage of endogenously synthesized vitamin C, followed by transfer of the fitness contribution to the complex of genes that together allow the acquisition of vitamin C from the environment. As is well known in the modeling community, the Baldwin effect only occurs in simulations when the population of agents is poised on the brink of discovering the genetically specified solution. Similarly, the redistribution effect occurs in simulations under specific initial conditions: too little vitamin C in the environment, and its synthesis it is never fully masked; too much vitamin C, and the abilities required to acquire it are not tightly integrated. The Baldwin effect has been hypothesized as a potential mechanism for developing language-specific adaptations like innate universal grammar and other highly modular capacities. We conclude with a discussion of the relevance of genetic assimilation and genetic redistribution to the evolution of language and other cognitive adaptations.

[1]  Peter D. Turney,et al.  Evolution, Learning, and Instinct: 100 Years of the Baldwin Effect , 1996, Evolutionary Computation.

[2]  S. Pinker How the Mind Works , 1999, Philosophy after Darwin.

[3]  Janet Wiles,et al.  Stability and task complexity: a neural network model of evolution and learning , 2002 .

[4]  C. Darwin The Origin of Species by Means of Natural Selection, Or, The Preservation of Favoured Races in the Struggle for Life , 1859 .

[5]  Janet Wiles,et al.  Selection Procedures for Module Discovery: Exploring Evolutionary Algorithms for cognitive Science , 2001 .

[6]  Janet Wiles,et al.  Probing the persistent question marks , 2001 .

[7]  S Minoshima,et al.  Cloning and chromosomal mapping of the human nonfunctional gene for L-gulono-gamma-lactone oxidase, the enzyme for L-ascorbic acid biosynthesis missing in man. , 1994, The Journal of biological chemistry.

[8]  David H. Ackley,et al.  Interactions between learning and evolution , 1991 .

[9]  Inman Harvey The Puzzle of the Persistent Question Marks : A Case Study of Genetic Drift , 1993, ICGA.

[10]  David J. Chalmers,et al.  The Evolution of Learning: An Experiment in Genetic Connectionism , 1991 .

[11]  Janet Wiles,et al.  The rise and fall of learning: a neural network model of the genetic assimilation of acquired traits , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[12]  Charles E. Taylor,et al.  Artificial Life II , 1991 .

[13]  Geoffrey E. Hinton,et al.  How Learning Can Guide Evolution , 1996, Complex Syst..

[14]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[15]  Giles Mayley The Evolutionary Cost of Learning , 1996 .

[16]  Thomas H. Frazzetta,et al.  Complex adaptations in evolving populations , 1975 .

[17]  J. Baldwin A New Factor in Evolution , 1896, The American Naturalist.

[18]  Jeffrey L. Krichmar,et al.  Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines , 2001, Complex..

[19]  Maja J. Matarić,et al.  The Evolutionary Cost of Learning , 1996 .

[20]  C. L. Morgan,et al.  ON MODIFICATION AND VARIATION. , 1896, Science.

[21]  L. Meyers Evolution and learning: The Baldwin effect reconsidered , 2004 .

[22]  Richard K. Belew,et al.  Evolution, Learning, and Culture: Computational Metaphors for Adaptive Algorithms , 1990, Complex Syst..

[23]  R. French,et al.  Genes, Phenes and the Baldwin Effect: Learning and Evolution in a Simulated Population , 1994 .