The Evolution of Cultural Resilience and Complexity

The study of memetics has thus far mostly applied a reductionist view of genetics to describe the pathogenic infectivity and transmission dynamics of ideas/memes. In this position paper, we take a first look at some of the distinctive attributes of cultural evolution through the lens of complexity science and theoretical biology. The article comments briefly on connections between memetics and complex biological systems. First, we describe some basic roles that selforganization and selective processes play in the integration of memes into personal mental constructs and the consequences this has on the complexity of these constructs (meme networks). Using the concept of an attractor landscape, we propose that the fitness of an idea may have consistent and predictable influences on attractor basin attributes for pre-existing mental constructs. We compare these ideas with findings reported on the evolution of attractor landscapes for gene regulatory networks and particularly, we consider whether insights from GRN studies can be translated into testable hypotheses on the evolution of cultural complexity. We also consider how the attractor landscape metaphor could facilitate a better understanding of how good ideas can paradoxically both reinforce existing beliefs yet also construct the very conditions that make new sets of beliefs possible.

[1]  S. Kauffman,et al.  Robustness and evolvability in genetic regulatory networks. , 2007, Journal of theoretical biology.

[2]  A. Sharov,et al.  Self-reproducing systems: structure, niche relations and evolution. , 1991, Bio Systems.

[3]  Alvis Brazma,et al.  Current approaches to gene regulatory network modelling , 2007, BMC Bioinformatics.

[4]  Sushmita Mitra,et al.  Genetic Networks and Soft Computing , 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[5]  M. Bassi,et al.  Biology, Culture, and Human Behavior , 2011 .

[6]  R. Lewontin ‘The Selfish Gene’ , 1977, Nature.

[7]  Kevin N Laland,et al.  Culture evolves , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[8]  C. Peterson,et al.  Stem cell states, fates, and the rules of attraction. , 2009, Cell stem cell.

[9]  Catherine Driscoll Fatal Attraction? Why Sperber’s Attractors do not Prevent Cumulative Cultural Evolution , 2011, The British Journal for the Philosophy of Science.

[10]  Alexei A. Sharov Role of Utility and Inference in the Evolution of Functional Information , 2008, Biosemiotics.

[11]  Hanna Klaudel,et al.  Modeling Multi-valued Genetic Regulatory Networks Using High-Level Petri Nets , 2005, ICATPN.

[12]  Mihaela Ulieru,et al.  Modelling culture in multi-agent organizations , 2011, AAMAS'11.

[13]  Noah E. Friedkin,et al.  Norm formation in social influence networks , 2001, Soc. Networks.

[14]  Anton Crombach,et al.  Evolution of Evolvability in Gene Regulatory Networks , 2008, PLoS Comput. Biol..