Cultural evolution as a nonstationary stochastic process

We present an individual based model of cultural evolution, where interacting agents are coded by binary strings standing for strategies for action, blueprints for products or attitudes and beliefs. The model is patterned on an established model of biological evolution, the Tangled Nature Model (TNM), where a ‘tangle’ of interactions between agents determines their reproductive success. In addition, our agents also have the ability to copy part of each other’s strategy, a feature inspired by the Axelrod model of cultural diversity. Unlike the latter, but similarly to the TNM, the model dynamics goes through a series of metastable stages of increasing length, each characterized by mutually enforcing cultural patterns. These patterns are abruptly replaced by other patterns characteristic of the next metastable period. We analyze the time dependence of the population and diversity in the system, show how different cultures are formed and merge, and how their survival probability lacks, in the model, a finite average life-time. Finally, we use historical data on the number of car manufacturers after the introduction of the automobile to the market, to argue that our model can qualitatively reproduce the flurry of cultural activity which follows a disruptive innovation.

[1]  Martin Guha,et al.  Encyclopedia of Statistics in Behavioral Science , 2006 .

[2]  Henrik Jeldtoft Jensen,et al.  Evolution in complex systems , 2004, Complex..

[3]  Henrik Jeldtoft Jensen,et al.  The species-area relationship and evolution. , 2004, Journal of theoretical biology.

[4]  Paolo Sibani,et al.  Log-Poisson statistics and full aging in glassy systems , 2003 .

[5]  P. A. Rikvold,et al.  Punctuated equilibria and 1/f noise in a biological coevolution model with individual-based dynamics. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Paolo Sibani,et al.  Evolution and non-equilibrium physics: A study of the Tangled Nature Model , 2013, 1309.1837.

[7]  B. Drossel Biological evolution and statistical physics , 2001, cond-mat/0101409.

[8]  S. Fortunato,et al.  Statistical physics of social dynamics , 2007, 0710.3256.

[9]  K. Christensen,et al.  Tangled nature: a model of evolutionary ecology. , 2001, Journal of theoretical biology.

[10]  Melanie Keller,et al.  The Rise And Fall Of The Third Chimpanzee , 2016 .

[11]  R. Axelrod The Dissemination of Culture , 1997 .

[12]  M. Newman,et al.  Extinction, diversity and survivorship of taxa in the fossil record , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[13]  S. Gould The Structure of Evolutionary Theory , 2002 .

[14]  Glenn R. Carroll,et al.  Organizational evolution in a multinational context: entries of automobile manufacturers in Belgium, Britain, France, Germany, and Italy , 1995 .

[15]  Charles Perreault The Pace of Cultural Evolution , 2012, PloS one.

[16]  Henrik Jeldtoft Jensen,et al.  Time-dependent extinction rate and species abundance in a tangled-nature model of biological evolution. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  N. Eldredge,et al.  Punctuated equilibrium comes of age , 1993, Nature.

[18]  Ricard V. Solé,et al.  The evolutionary ecology of technological innovations , 2013, Complex..

[19]  Alstrom,et al.  Fitness Optimization and Decay of Extinction Rate Through Biological Evolution. , 1995, Physical review letters.

[20]  M. Feldman,et al.  Niche construction, biological evolution, and cultural change , 2000, Behavioral and Brain Sciences.

[21]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.