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Where does fitness fit in theories of perception?

Overview of attention for article published in Psychonomic Bulletin & Review, September 2015
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Title
Where does fitness fit in theories of perception?
Published in
Psychonomic Bulletin & Review, September 2015
DOI 10.3758/s13423-014-0748-5
Pubmed ID
Authors

Barton L. Anderson

Abstract

Interface theory asserts that neither our perceptual experience of the world nor the scientific constructs used to describe the world are veridical. The primary argument used to uphold this claim is that (1) evolution is driven by a process of natural selection that favors fitness over veridicality, and (2) payoffs do not vary monotonically with truth. I argue that both the arguments used to bolster this claim and the conclusions derived from it are flawed. Interface theory assumes that perception evolved to directly track fitness but fails to consider the role of adaptation on ontogenetic time scales. I argue that the ubiquity of nonmonotonic payoff functions requires that (1) perception tracks "truth" for species that adapt on ontogenetic time scales and (2) that perception should be distinct from utility. These conditions are required to pursue an adaptive strategy to mitigate homeostatic imbalances. I also discuss issues with the interface metaphor, the particular formulation of veridicality that is considered, and the relationship of interface theory to the history of ideas on these topics.

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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Germany 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 30%
Student > Ph. D. Student 7 23%
Professor 3 10%
Student > Master 3 10%
Lecturer 2 7%
Other 6 20%
Readers by discipline Count As %
Psychology 14 47%
Agricultural and Biological Sciences 5 17%
Engineering 3 10%
Arts and Humanities 1 3%
Computer Science 1 3%
Other 3 10%
Unknown 3 10%