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Let the social sciences evolve

Published online by Cambridge University Press:  27 August 2014

Paul E. Smaldino  and
Timothy M. Waring
Paul E. Smaldino
Affiliation:
Center for Advanced Modeling in the Social, Behavioral, and Health Sciences, Johns Hopkins University, Baltimore, MD [email protected]://www.smaldino.com
Timothy M. Waring
Affiliation:
School of Economics & Sustainability Solutions Initiative, University of Maine, Orono, ME 04469. [email protected]://timwaring.wordpress.com/
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Abstract

We agree that evolutionary perspectives may help us organize many divergent realms of the science of human behavior. Nevertheless, an imperative to unite all social science under an evolutionary framework risks turning off researchers who have their own theoretical perspectives that can be informed by evolutionary theory without being exclusively defined by it. We propose a few considerations for scholars interested in joining the evolutionary and social sciences.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 37 , Issue 4 , August 2014 , pp. 437
Copyright
Copyright © Cambridge University Press 2014 

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References

Aldrich, H. (1999) Organizations evolving. Sage.Google Scholar
Alvard, M. S. (1998) Evolutionary anthropology and resource conservation. Evolutionary Anthropology 7:62–74.3.0.CO;2-I>CrossRefGoogle Scholar
Boyd, R. & Richerson, P. J. (1987) The evolution of ethnic markers. Cultural Anthropology 2(1):65–79.Google Scholar
Cook, J., Tyson, R., White, J., Rushe, R., Gottman, J. & Murray, J. (1995) Mathematics of marital conflict: Qualitative dynamic mathematical modeling of marital interaction. Journal of Family Psychology 9:110–30.Google Scholar
Deffuant, G., Neau, D., Amblard, F. & Weisbuch, G. (2000) Mixing beliefs among interacting agents. Advances in Complex Systems 3(4):87–98.Google Scholar
Dopfer, K. (2005) The evolutionary foundations of economics. Cambridge University Press.Google Scholar
Ferrer, E., Steele, J. S. & Hsieh, F. (2012) Analyzing the dynamics of affective dyadic interactions using patterns of intra- and interindividual variability. Multivariate Behavioral Research 47:146–71.Google Scholar
Hannan, M. T. & Freeman, J. (1977) The population ecology of organizations. American Journal of Sociology 82(5):929–64.CrossRefGoogle Scholar
Hodgson, G. M. (2005) Generalizing Darwinism to social evolution: Some early attempts. Journal of Economic Issues 34:899–914.Google Scholar
Liebovitch, L. S., Peluso, P. R., Norman, M. D., Su, J. & Gottman, J. M. (2011) Mathematical model of the dynamics of psychotherapy. Cognitive Neurodynamics 5:265–75.CrossRefGoogle ScholarPubMed
Lumsden, C. J. & Wilson, E. O. (1981) Genes, mind, and culture: The coevolutionary process. Harvard University Press.Google Scholar
McKelvey, B. (1982) Organizational systematics: Taxonomy, evolution, classification. University of California Press.Google Scholar
Nowak, A., Vallacher, R. R. & Zochowski, M. (2005) The emergence of personality: Dynamics foundations of individual variation. Developmental Reviews 25:351–85.CrossRefGoogle Scholar
Smaldino, P., Pickett, C., Sherman, J. & Schank, J. (2012) An agent-based model of social identity dynamics. Journal of Artificial Societies and Social Simulation 15(4):7.Google Scholar
Veblen, T. (1898) Why is economics not an evolutionary science? The Quarterly Journal of Economics 12(4):373–97.Google Scholar
White, L. A. (1943) Energy and the evolution of culture. American Anthropologist 45(3):335–56.CrossRefGoogle Scholar