Cognitive Traits as Sexually Selected Fitness Indicators
Author(s) -
Klasios John
Publication year - 2013
Publication title -
review of general psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.519
H-Index - 98
eISSN - 1939-1552
pISSN - 1089-2680
DOI - 10.1037/a0034391
Subject(s) - miller , evolutionary psychology , psychology , sexual selection , cognition , mate choice , selection (genetic algorithm) , cognitive psychology , evolutionary theory , cognitive science , social psychology , developmental psychology , epistemology , evolutionary biology , ecology , artificial intelligence , computer science , biology , philosophy , mating , neuroscience
The evolutionary psychologist Geoffrey Miller has argued that various features of human psychology have been sculpted, at least in part, by the evolutionary process of sexual selection via mate choice. This paper specifically examines the central claim of Miller's account, namely that certain cognitive traits have evolved to function as good genes fitness indicators. First, I expound on and clarify key foundational concepts comprising the focal hypothesis, especially condition-dependence, mutation target size, and mutation-selection balance. Second, I proceed to highlight some subtle distinctions with respect to the concepts of exaptation and adaptation, as well as Fisherian runaway selection and good genes sexual selection, all of which in turn bear importantly on the overall framework of cognitive traits as fitness indicators. Third and finally, I close out the paper by examining various conceptual and methodological criteria which are integral to identifying sexually selected adaptations, then briefly examine some empirical work that has aimed to test the hypothesis that traits such as humor and creativity function as sexually attractive fitness indicators.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom