Hostname: page-component-89b8bd64d-rbxfs Total loading time: 0 Render date: 2026-05-06T16:58:11.314Z Has data issue: false hasContentIssue false
  • English
  • Français

Aggression, predictability of the environment, and self-regulation: Reconciliation with animal research

Published online by Cambridge University Press:  11 May 2017

Mattie Tops  and
Dimitri van der Linden
Mattie Tops
Affiliation:
Department of Clinical, Neuro- and Developmental Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands m.tops@vu.nl http://loop.frontiersin.org/people/8492/overview
Dimitri van der Linden
Affiliation:
Department of Psychology, Erasmus Universiteit Rotterdam, 3000 DR Rotterdam, The Netherlands. vanderlinden@fsw.eur.nl https://www.researchgate.net/profile/Dimitri_Linden
Get access Rights & Permissions [Opens in a new window]

Abstract

Apparently inconsistent with the CLASH model, animal research relates predictable environments to rigid routine behaviors and aggression. However, our work on evolutionary and neural adaptations to (un)predictable environments may be able to reconcile the CLASH model with the animal research, but also suggests complexities beyond the dichotomous approach of CLASH.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e97
Check for updates
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Davis, C. & Levitan, R. D. (2005) Seasonality and seasonal affective disorder (SAD): An evolutionary viewpoint tied to energy conservation and reproductive cycles. Journal of Affective Disorders 87:3–10.Google Scholar
Del Giudice, M. (2014) An evolutionary life history framework for psychopathology. Psychological Inquiry 25:261–300.Google Scholar
Del Giudice, M. (2015) Self-regulation in an evolutionary perspective. In: Handbook of biobehavioral approaches to self-regulation, ed.Gendolla, G. H. E., Tops, M. & Koole, S. L., pp. 25–41. Springer.Google Scholar
Ellis, B. J., Figueredo, A. J., Brumbach, B. H. & Schlomer, G. L. (2009) Fundamental dimensions of environmental risk: The impact of harsh versus unpredictable environments on the evolution and development of life history strategies. Human Nature 20(2):204–68. doi: 10.1007/s12110-009-9063-7.Google Scholar
Ferguson, E., Semper, H., Yates, J., Fitzgerald, J. E., Skatova, A. & James, D. (2014) The ‘dark side’ and ‘bright side’ of personality: When too much conscientiousness and too little anxiety are detrimental with respect to the acquisition of medical knowledge and skill. PLoS One 9(2):e88606.CrossRefGoogle Scholar
Figueredo, A. J., Vásquez, G., Brumbach, B. H., Schneider, S. M. R., Sefcek, J. A., Tal, I. R., Hill, D., Wenner, C. J. & Jacobs, W. J. (2006) Consilience and life history theory: From genes to brain to reproductive strategy. Developmental Review 26:243–75. doi: 10.1016/j.dr.2006.02.002.Google Scholar
IJzerman, H., Coan, J. A., Wagemans, F. M. A., Missler, M. A., van Beest, I., Lindenberg, S. M. & Tops, M. (2015a) A theory of social thermoregulation for human primates. Frontiers in Psychology 6:464. doi: 10.3389/fpsyg.2015.00464.Google Scholar
Kempes, M., Matthys, W., de Vries, H. & van Engeland, H. (2005) Reactive and proactive aggression in children – A review of theory, findings and the relevance for child and adolescent psychiatry. European Child and Adolescent Psychiatry 14(1):11–19.Google Scholar
Koolhaas, J. M., Korte, S. M., De Boer, S. F., Van Der Vegt, B. J., Van Reenen, C. G., Hopster, H., De Jong, I. C., Ruis, M. A. & Blokhuis, H. J. (1999) Coping styles in animals: Current status in behavior and stress-physiology. Neuroscience and Biobehavioral Review 23:925–35.Google Scholar
Lynn, R. (1987) The intelligence of the mongoloids: A psychometric, evolutionary and neurological theory. Personality and Individual Differences 8:813–44.Google Scholar
Naya, D. E., Naya, H. & Lessa, E. P. (2016) Brain size and thermoregulation during the evolution of the genus Homo . Comparative Biochemistry and Physiology Part A Molecular and Integrative Physiology 191:66–73. doi: 10.1016/j.cbpa.2015.09.017.Google Scholar
Tops, M. (2014) Slow life history strategies and slow updating of internal models: The examples of conscientiousness and obsessive-compulsive disorder. Psychological Inquiry 25:376–84.Google Scholar
Tops, M., Boksem, M. A. S., Quirin, M. & Koole, S. L. (2014) Internally-directed cognition and mindfulness: An integrative perspective derived from predictive and reactive control systems theory. Frontiers in Psychology 5:429.Google Scholar
Tops, M., Montero Marín, J. & Quirin, M. (2016) Too much of a good thing: A neuro-dynamic personality model explaining engagement and its protective inhibition. In: Advances in motivation and achievement: Recent developments in neuroscience research on human motivation, vol. 19, ed.Kim, S.-i., Reeve, J. & Bong, M., pp. 263–99. Emerald Group.Google Scholar
Van der Linden, D., Dunkel, C. S., Beaver, K. M. & Louwen, M. (2015) The unusual suspect: The general factor of personality (GFP), Life History Theory, and delinquent behaviour. Evolutionary Behavioral Sciences 9:145–60.Google Scholar
Van der Linden, D., Dunkel, C. S. & Petrides, K. V. (2016) The general factor of personality as social effectiveness: Review of the literature. Personality and Individual Differences 101:98–105.Google Scholar