Risk sensitivity as an evolutionary adaptation

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Hintze, Arend ^a,b   Olson, Randal S ^a,b   Adami, Christoph ^a,b   Hertwig, Ralph ^c  

^a Department of Microbiology and Molecular Genetics ^*  (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c MAX PLANCK INSTITUTE FOR HUMAN DEVELOPMENT   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITION; CONTROLLED STUDY; ENDOWMENT EFFECT; EVOLUTIONARY ADAPTATION; HUMAN; MAJOR CLINICAL STUDY; MATING; THINKING; VENTRAL STRIATUM; ADAPTATION; ANIMAL; DECISION MAKING; EVOLUTION; RISK; THEORETICAL MODEL;

ADAPTATION, PHYSIOLOGICAL; ANIMALS; BIOLOGICAL EVOLUTION; DECISION MAKING; HUMANS; MODELS, THEORETICAL; RISK;

EID: 84954224057     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep08242     Document Type: Article

References (61)

1. VonNeumann, J.&Morgenstern, O. Theory of games and economic behavior (2nd edition). (Princeton University Press, Princeton, 1947).
2. Markowitz, H. M. Portfolio selection: Efficient diversification of investments (Yale University Press, London, 1959).
3. Kahneman, D. & Tversky, A. Prospect theory: an analysis of decision under risk. Econometrica 47, 263-292 (1979).
4. Stephens, D. W. (1981) The logic of risk-sensitive foraging preferences. Anim. Behav. 29, 628-629 (1981).
5. Silberberg, A., Murray, P., Christensen, J. & Asano, T. Choice in the repeatedgambles experiment. J. Exp. Anal. Behav. 50, 187-195 (1988).
6. Bernoulli, D. Exposition of a new theory on the measurement of risk. Econometrica 22, 23-36 (1954).
7. Pratt, J. Risk aversion in the small and in the large. Econometrica 32, 122-136 (1964).
8. Arrow, K. J. Aspects of the theory of risk-bearing. (Yrjö Jahnssonin Säätiö, Helsinki, 1965).
9. Smallwood, P. An introduction to risk sensitivity: the use of Jensen's inequality to clarify evolutionary arguments of adaptation and constraint. Amer. Zool. 36, 392-401 (1996).
10. Kachelnik, A. & Bateson, M. Risky theories - the effects of variance on foraging decisions. Amer. Zool. 36, 402-434 (1996).
11. Stern,M.D. Patrimony and the evolution of risk-taking. PLoS One 5, e11656; DOI: 10.1371/journal.pone.0011656 (2010).
12. Bateson, M. Recent advances in our understanding of risk-sensitive foraging preferences. P. Nutr. Soc. 61, 509-516 (2007).
13. Bednekoff, P. A. Risk-sensitive foraging, fitness, and life histories: where does reproduction fit into the big picture? Integr. Comp. Bio. 36, 471-483 (1996).
14. Houston,A. I. Risk-sensitive foraging theory and operant psychology. J. Exp. Anal. Behav. 56, 585-589 (1991).
15. Poethke, H. J. & Liebig, J. Risk-sensitive foraging and the evolution of cooperative breeding and reproductive skew. BMC Ecol. 8, 2; doi:10.1186/1472-6785-8-2 (2008).
16. Stephen, D. W, Krebs, J. R. Foraging theory. (Princeton University Press, Princeton, 1986)
17. Beaumont, H. J. E., Gallie, J., Kost, C., Ferguson, G. C. & Rainey, P. B. Experimental evolution of bet hedging. Nature 462, 90-93 (2009).
18. Bulmer, M. G. Risk avoidance and nesting strategies. Math. Biosci. 106, 529-535 (1984).
19. Gillespie, J. H. Natural selection for within-generation variance in offspring number. Genetics 76, 601-606 (1974).
20. Slatkin, M. Hedging one's evolutionary bets. Nature 250, 704-705 (1974).
21. Philippi, T. & Seger, J. Hedging one's evolutionary bets, revisited. Trends Ecol. Evolut. 4, 41-44 (1989).
22. Shpak, M. Evolution of variance in offspring number: The effects of population size and migration. Theory Biosci. 124, 65-85; DOI:10.1016/j.thbio.2005.05.003 (2005).
23. Shpak, M. & Proulx, S. R. The role of life cycle and migration in selection for variance in offspring number. Bull. Math. Bio. 69, 2443-2443 (2007).
24. Lehmann, L. & Balloux, F. Natural selection on fecundity variance in subdivided populations: kin selection meets bet hedging. Genetics 176, 361-377 (2007).
25. Marsh, B.&Kacelnik, A. Framing effects and risky decisions in starlings. PNAS 99, 3352-5 (2002).
26. Trepel, C., Fox, C. R. & Poldrack, R. A. Prospect theory on the brain? toward a cognitive neuroscience of decision under risk. Cog. Brain. Res. 23, 34-50; DOI:10.1016/j.cogbrainres.2005.01.016 (2005).
27. Christopoulos, G. I., Tobler, P. N., Bossaerts, P., Dolan, R. J. & Schultz, W. Neural correlates of value, risk, and risk aversion contributing to decision making under risk. J. Neurosci. 29, 12574-83; DOI:10.1523/JNEUROSCI.2614-09.2009 (2009).
28. Symmonds, M., Bossaerts, P. & Dolan, R. J. A behavioral and neural evaluation of prospective decision-making under risk. J. Neurosci. 30, 14380-9; DOI:10.1523/JNEUROSCI.1459-10.2010 (2010).
29. Okasha, S. Rational choice, risk aversion, and evolution. J. Phil. 104, 217-235 (2007).
30. Schulz, A. Risky business: evolutionary theory and human attitudes towards risk-A reply to Okasha. J. Phil. 105, 156-165 (2008).
31. Cesarini, D.,Dawes, C. T., Johannesson,M., Lichtenstein, P.&Wallace, B. Genetic variation in preferences for giving and risk taking. J. Econ. 124, 809-842 (2009).
32. Bell, A. M. Approaching the genomics of risk-taking behavior. Adv. Genet. 68, 83-104; DOI:10.1016/S0065-2660(09)68004-4 (2009).
33. Clark, C. W.&Yoshimura, J. Behavioral responses to variations in population size: a stochastic evolutionary game. Behav. Ecol. 4, 282-288; DOI:10.1093/beheco/4.3.282 (1993).
34. Yoshimura, J. & Clark, C. W. Individual adaptations in stochastic environments. Evol. Ecol. 5, 173-192 (1991).
35. Robson, A. J. A biological basis for expected and non-expected utility. JET 68, 28-28 (1996).
36. Donaldson-Matasci, M. C., Lachmann, M. & Bergstrom, C. T. Phenotypic diversity as an adaptation to environmental uncertainty. Evol. Ecol. Res. 10.4, 493-515 (2008)
37. Marshall, A. Principles of economics [8th edition]. (Macmillan&Co., Ltd., London, 1920).
38. Tversky, A. & Kahneman, D. Adavances in prospect theory: Cumulative representation of uncertainty. J. Risk Uncertainty 5, 297-323 (1992).
39. Tversky, A. & Kahneman, D. The framing of decisions and the psychology of choice. Science 211, 453-458 (1981).
40. Hoffrage, U., Lindsey, S., Hertwig, R. & Gigerenzer, G. Communicating statistical information. Science 290, 2261-2262 (2000).
41. Hertwig, R. & Erev, I. The description-experience gap in risky choice. Trends Cog. Sci. 13, 517-523 (2009).
42. Holt, C. & Laury, S. Risk aversion and incentive effects. Am. Econ. Rev. 92, 1644-1655 (2002).
43. Harbaugh, W. T., Krause, K.&Vesterlund, L. Risk attitudes of children and adults: choices over small and large probability gains and losses. Exp. Econ. 5, 53-84 (2002).
44. Levin, I. P. & Hart, S. S. Risk preferences in young children: Early evidence of individual differences in reaction to potential gains and losses. J. Behav. Decis. Making 16, 397-413 (2003).
45. Boyle, P. A., Yu, L., Buchman, A. S., Laibson, D. I. & Bennett, D. A. Cognitive function is associated with risk aversion in community-based older persons. BMC Geriatrics 11, 53; DOI:10.1186/1471-2318-11-53 (2011).
46. Campbell, J. Y. & Cochrane, J. H. By force of habit: a consumption-based explanation of aggregate stock market behavior. J. Polit. Econ. 107, 205-251; DOI:10.3386/w4995 (1999).
47. Constantinides, G. Habit formation: a resolution of the equity premium puzzle. J. Polit. Econ. 98, 519-543 (1990).
48. Gillespie, J. H. Natural selection for variances in offspring numbers: a new evolutionary principle. Am. Nat. 111, 1010-1014 (1977).
49. Buss, D. M. & Schmitt, D. P. Sexual strategies theory: an evolutionary perspective on human mating. Psychol. Rev. 100, 204-232 (1993).
50. Cann, R. L., Stoneking, M. & Wilson, A. C. Mitochondrial DNA and human evolution. Nature 325, 31-36 (1987).
51. Vigilant, L., Stoneking, M., Harpending, H., Hawkes, K. & Wilson, A. C. African populations and the evolution of human mitochondrial DNA. Science 253, 1503-1507 (1991).
52. Aiello, L. C. & Dunbar, R. I. M. Neocortex size, group size, and the evolution of language. Curr. Anthropol. 34, 184-193 (1993).
53. Dunbar, R. Coevolution of neocortical size, group size and language in humans. Behav. Brain Sci. 16, 681-735 (1993).
54. Kimura, M. M. On the probability of fixation of mutant genes in a population. Genetics 47, 713-719 (1962).
55. Gillespie, J. H. Population genetics: a concise guide [2nd edition]. (Johns Hopkins University Press, Baltimore and London, 2004).
56. Lopes, L. L. Decision making in the short run. J. Exp. Psychol. 7, 377-85 (1981).
57. Michalewicz, Z. Genetic Algorithms 1 Data Structures 5 Evolution Programs. (Springer Verlag, London, UK, 1996).
58. Back, T. Evolutionary algorithms in theory and practice: Evolution strategies, evolutionary programming, genetic algorithms. (Oxford University Press, New York, 1996).
59. Whitley, D., Rana, S. &Heckendorn, R. B. The island model genetic algorithm: On separability, population size and convergence. J. Comp. Inf. Tech. 7, 33-47 (1998).
60. Cantú-Paz, E. & Goldberg, D. E. Are multiple runs of genetic algorithms better than one? Genetic and Evolutionary Computation-GECCO 2003, Lecture Notes in Computer Science 2723, 801-812, DOI:10.1007/3-540-45105-6 94 (2003).
61. Lenski, R. E., Ofria, C., Pennock, R. T. & Adami, C. The evolutionary origin of complex features. Nature 423, 139-144 (2003).