Hostname: page-component-848d4c4894-tn8tq Total loading time: 0 Render date: 2024-07-04T21:42:25.208Z Has data issue: false hasContentIssue false

Perverse Engineering

Published online by Cambridge University Press:  01 January 2022

Abstract

Evolutionary psychologists, among others, have used a method called “reverse engineering” to uncover (a) whether a trait was selected for, and (b) if so, why that trait was selected for. In this paper I argue that reverse engineering cannot deliver on either (a) or (b), and tends to pervert, rather than enhance, our knowledge of natural history. In particular, I expose as false a fundamental assumption of reverse engineering—namely, that all traits selected for a particular function will share some nontrivial properties.

Type
Research Article
Copyright
Copyright © The Philosophy of Science Association

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.)

Footnotes

Many thanks to Philip Kitcher, Patricia Kitcher, and Alison Wylie for insightful recommendations. Special thanks also to Maysan Haydar for her substantive and editorial contributions.

References

Abrams, Peter (2001), “Adaptationism, Optimality Models, and Tests of Adaptive Scenarios”, in Orzack, Steven and Sober, Elliot (eds.), Adaptationism and Optimality. New York: Cambridge University Press, 273302.CrossRefGoogle Scholar
Cosmides, Leda, and Tooby, John (1987), “From Evolution to Behavior: Evolutionary Psychology as the Missing Link”, in Dupré, John (ed.), The Latest on the Best: Essays on Evolution and Optimality. Cambridge, MA: MIT Press, 276306.Google Scholar
Endler, John A. (1980), “Natural Selection on Color Patterns in Poecilia reticulata”, Natural Selection on Color Patterns in Poecilia reticulata 34:7691.Google ScholarPubMed
Endler, John A. (1986), Natural Selection in the Wild. Princeton, NJ: Princeton University PressGoogle Scholar
Griffiths, Paul (1996), “The Historical Turn in the Study of Adaptation”, The Historical Turn in the Study of Adaptation 47:511532.Google Scholar
Lewens, Timothy (2002), “Adaptationism and Engineering”, Adaptationism and Engineering 17:131.Google Scholar
Sinervo, Barry, and Basolo, Alexandra (1996), “Testing Adaptation Using Phenotypic Manipulations”, in Rose, Michael and Lauder, George (eds.), Adaptation. San Diego: Academic Press, 149185.Google Scholar
Thornhill, Randy (1997), “The Concept of an Evolved Adaptation”, in Bock, Gregory and Cardew, Gail (eds.), Characterizing Human Psychological Adaptations. London: Ciba Foundation, 422.Google Scholar
Thornhill, Randy (2007), “Comprehensive Knowledge of Human Evolutionary History Requires Both Adaptationism and Phylogenetics”, in Gangestad, Steven and Simpson, Jeffry (eds.), The Evolution of Mind. New York: Guilford, 3137.Google Scholar
Tooby, John, and Cosmides, Leda (1990), “The Past Explains the Present: Emotional Adaptations and the Structure of Ancestral Environments”, The Past Explains the Present: Emotional Adaptations and the Structure of Ancestral Environments 11:375424.Google Scholar
Tooby, John, and Cosmides, Leda (1992), “The Psychological Foundations of Culture”, in Barkow, Jerome, Cosmides, Leda, and Tooby, John (eds.), The Adapted Mind. New York: Oxford University Press, 19136.Google Scholar
Tooby, John, and Cosmides, Leda (2005), “Conceptual Foundations of Evolutionary Psychology”, in Buss, David (ed.), Handbook of Evolutionary Psychology. Hoboken, NJ: Wiley, 567.Google Scholar
Tooby, John, and DeVore, Irven (1987), “The Reconstruction of Hominid Behavioral Evolution through Strategic Modeling”, in Kinzey, Warren (ed.), The Evolution of Human Behavior: Primate Models. Albany, NY: SUNY Press, 183237.Google Scholar
Williams, George C. (1992), Natural Selection: Domains, Levels, and Challenges. New York: Oxford University Press.Google Scholar
Williams, George C. (1996), Adaptation and Natural Selection: A Critique of Some Current Evolutionary Thought. Princeton, NJ: Princeton University Press.Google Scholar