Abstract
Optimal foraging theory has been criticized for underestimating patch exploitation time. However, proper modeling of costs not only answers these criticisms, but it also explains apparently irrational behaviors like the sunk-cost effect. When a forager is sure to experience high initial costs repeatedly, the forager should devote more time to exploitation than searching in order to minimize the accumulation of said costs. Thus, increased recognition or reconnaissance costs lead to increased exploitation times in order to reduce the frequency of future costs, and this result can be used to explain paradoxical human preference for higher costs. In fact, this result also provides an explanation for how continuing a very costly task indefinitely provides the optimal long-term rate of gain; the entry cost of each new task is so great that the forager avoids ever returning to search. In general, apparently irrational decisions may be optimal when considering the lifetime of a forager within a larger system.
Similar content being viewed by others
Notes
Here, to be consistent with Arkes and Blumer (1985), we do not allow encounters to be ignored, and so initial costs are forced and the pure patch model predicts the optimal behavior. The combined prey–patch model better fits reality as ticket purchasing opportunities can be ignored.
If the experimenters allowed for encounters to be ignored (i.e., if participants could choose to not purchase a ticket), movies with zero commitment times would also have zero ticket sales.
References
Arkes HR, Ayton P (1999) The sunk cost and Concorde effects: are humans less rational than lower animals? Psychol Bull 125(5):591–600
Arkes H, Blumer C (1985) The psychology of sunk cost. Organ Behav Hum Decis 35:124–140
Charnov EL (1973) Optimal foraging: some theoretical explorations. PhD thesis, University of Washington
Charnov EL (1976) Optimal foraging: the marginal value theorem. Theor Popul Biol 9(2):129–136
Dawkins R, Carlisle TR (1976) Parental investment, mate desertion and a fallacy. Nature 262(5564):131–133
Faver CA, Strand EB (2003) To leave or to stay? J Interpers Violence 18(12):1367–1377. doi:10.1177/0886260503258028
Giraldeau LA, Caraco T (2000) Social foraging theory. Princeton University Press, Princeton
Giraldeau LA, Livoreil B (1998) Game theory and social foraging. In: Dugatkin LA, Reeve HK (eds) Game theory and animal behavior. Oxford University Press, New York, pp 16–37
Houston AI, McNamara JM (1999) Models of adaptive behavior. Cambridge University Press, Cambridge
Jakob EM (2004) Individual decisions and group dynamics: why pholcid spiders join and leave groups. Anim Behav 68(1):9–20 doi:10.1016/j.anbehav.2003.06.026
Kanodia C, Bushman R, Dickhaut J (1989) Escalation errors and the sunk cost effect: an explanation based on reputation and information asymmetries. J Account Res 27(1):59–77
Nolet BA, Langevoord O, Bevan RM, Engelaar KR, Klaassen M, Mulder RJW, Dijk SV (2001) Spatial variation in tuber depletion by swans explained by differences in net intake rates. Ecology 82(6):1655–1667 doi:10.1890/0012-9658(2001)082[1655:SVITDB]2.0.CO;2
Nonacs P (2001) State dependent behavior and the marginal value theorem. Behav Ecol 12(1):71–83
Olsson O, Brown JS (2006) The foraging benefits of information and the penalty of ignorance. Oikos 112(2):260–273 doi:10.1111/j.0030-1299.2006.13548.x
Olsson O, Holmgren NMA (1998) The survial-rate-maximizing policy for bayesian foragers: wait for good news. Behav Ecol 9(4):345–353
Pavlic TP (2007) Optimal foraging theory revisited. Master’s thesis, The Ohio State University, Columbus. http://www.ohiolink.edu/etd/view.cgi?acc_num=osu1181936683
Pyke GH, Pulliam HR, Charnov EL (1977) Optimal foraging: a selective review of theory and tests. Q Rev Biol 52(2):137–154
Schoener TW (1971) Theory of feeding strategies. Annu Rev Ecol Syst 2:369–404
Sih A, Christensen B (2001) Optimal diet theory: when does it work, and when and why does it fail? Anim Behav 61(2):379–390 doi:10.1006/anbe.2000.1592
Staw BM (1981) The escalation of commitment to a course of action. Acad Manag Rev 6(4):577–587
Stephens DW, Krebs JR (1986) Foraging theory. Princeton University Press, Princeton
van Gils JA, Schenk IW, Bos O, Piersma T (2003) Incompletely informed shorebirds that face a digestive constraint maximize net energy gain when exploiting patches. Am Nat 161(5):777–793. doi:10.1086/374205
van Gils JA, de Rooij SR, van Belle J, van der Meer J, Dekinga A, Piersma T, Drent R (2005) Digestive bottleneck affects foraging decisions in red knots shape Calidris canutus. I. prey choice. J Anim Ecol 74(1):105–119. doi:10.1111/j.1365-2656.2004.00903.x
Acknowledgments
We thank Thomas A. Waite for his helpful insights and instruction and Ian M. Hamilton for his comments on this paper. We also thank two anonymous referees for their help in improving this paper. Additionally, the comments of three anonymous reviewers on a related submission have also been influential in the presentation of this work.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pavlic, T.P., Passino, K.M. The Sunk-cost Effect as an Optimal Rate-maximizing Behavior. Acta Biotheor 59, 53–66 (2011). https://doi.org/10.1007/s10441-010-9107-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10441-010-9107-8