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Cited by 171

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Adaptations for exploitation.

Buss, David M., Duntley, Joshua D.·2008·Group Dynamics: Theory, Research, and Practice

Abstract

Human groups contain reproductively relevant resources that differ greatly in their ease of accessibility. The authors advance a conceptual framework for the study of 2 classes of adaptations that have been virtually unexplored: (a) adaptations for exploitation designed to expropriate the resources of others through deception, manipulation, coercion, intimidation, terrorization, and force and (b) antiexploitation adaptations that evolved to prevent one from becoming a victim of exploitation. As soon as adaptations for exploitation evolved, they would immediately select for coevolved antiexploitation defenses—adaptations in target individuals, their kin, and their social allies designed to prevent their becoming a victim of exploitation. Antiexploitation defenses, in turn, created satellite adaptive problems for those pursuing a strategy of exploitation. Selection would favor the evolution of anticipatory and in situ solutions designed to circumvent the victim’s defenses and minimize the costs of pursuing an exploitative strategy. Adaptations for exploitation have design features sensitive to the group dynamics in which they are deployed, including status hierarchies, social reputation, and the preferential selection of out-group victims.

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Metadata

Authors
Buss, D. M., & Duntley, J. D.
Venue
Group Dynamics: Theory, Research, and Practice
Published
2008-03
Volume
12
Issue
1
Pages
53-62
ISSN
  • 1089-2699 (ISSN-L)
  • 1930-7802
OpenAlex
W1971888810
Cited by
171
References
4
FWCI
15.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptations for exploitation. https://app.cochat.ai/papers/10.1037/1089-2699.12.1.53
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Buss, D. M., & Duntley, J. D. (2008). Adaptations for exploitation. Group Dynamics: Theory, Research, and Practice. https://doi.org/10.1037/1089-2699.12.1.53

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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