Visualizing Adaptive Evolutionary Activity of Allele Tokens and of Phenotypic Equivalence Classes of Alleles

We present a method for visualizing the important adaptive dynamics in evolving systems. The method consists of measuring evolutionary activity, (as conceived by Bedau and Packard) of components of evolving systems and then plotting this as a function of time. This method has already been applied to individual alleles and whole genotypes. We extend the method to phenotypically equivalent types of alleles and apply it to data generated by Packard’s Bugs model, a simple artificial system that consists of agents with sensorimotor genes competing for resources in a two-dimensional world. One novelty of the Packard model studied here is that it allows the evolution of sensory thresholds—a simple form of the evolution of evolvability. Plotting the evolutionary activity of phenotypically equivalent types of alleles provides an especially vivid empirical quantitative picture of the significant adaptive phenomena in

[1]  N. Packard,et al.  A Comparison of Evolutionary Activity in Artificial Evolving Systems and in the Biosphere , 1998 .

[2]  Mark A. Bedau.  Dynamics of the Environment for Adaptation in Static Resource Models , 2001, ECAL.

[3]  Mark A. Bedau,et al.  Towards a comparison of evolutionary creativity in biological and cultural evolution , 2002 .

[4]  John R. Koza,et al.  Hidden Order: How Adaptation Builds Complexity. , 1995, Artificial Life.

[5]  Mark A. Bedau,et al.  Visualizing Waves of Evolutionary Activity of Alleles , 1999 .

[6]  Mark A. Bedau,et al.  Three Illustrations of Artificial Life's Working Hypothesis , 1995, Evolution and Biocomputation.

[7]  Carol E. Cleland,et al.  The Nature of Life , 1996 .

[8]  S. Gould,et al.  The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[9]  E. Mayr,et al.  Toward a New Philosophy of Biology , 1988 .

[10]  Mark A. Bedau,et al.  A Generic Neutral Model for Quantitative Comparison of Genotypic Evolutionary Activity , 1999, ECAL.

[11]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[12]  N. Packard,et al.  Evolution of evolvability via adaptation of mutation rates. , 2003, Bio Systems.

[13]  Martin Zwick,et al.  Dependence of Adaptability on Environmental Structure in a Simple Evolutionary Model , 1996, Adapt. Behav..

[14]  N. Packard,et al.  A classification of long-term evolutionary dynamics , 1998 .

[15]  C. Titus Brown,et al.  Visualizing Evolutionary Activity of Genotypes , 1998, Artificial Life.

[16]  M. Bedau.  Measurement of Evolutionary Activity, Teleology, and Life , 1996 .