What Makes a Good Decision? Robust Satisficing as a Normative Standard of Rational Decision Making



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To the best of our knowledge, there are at present no data that speak to any of these issues. To some degree, this lack of research may be the result of the hegemony that utility maximizing has had as the norm for rational decision making in our culture. Despite the numerous and varied applications of info-gap robust satisficing that we referred to earlier, one rarely, if ever, sees this discussed in the popular literature. Even when risk management and its failures got enormous attention in the aftermath of the financial crisis, all the criticism was of faulty utility maximizing calculation. The possibility that utility maximization was the wrong thing to be calculating was unexplored. It is our hope that in making the normative argument we have here, we will encourage more people to think about robust satisficing as the rational strategy to be following in their own lives, and in the lives of the institutions of which they are a part.
References

Akram, Q.F., Ben-Haim, Y., & Eitrheim, Ø. (2006). Managing uncertainty through robust-satisficing monetary policy. Working paper ANO 2006/10. Oslo: Norges Bank.

Baron, J. (2004). Normative models of judgment and decision making. In D. J. Koehler & N. Harvey (Eds.), Blackwell handbook of judgment and decision making (pp.19-36). Malden, MA.: Blackwell.

Baron, J. (2008). Thinking and deciding (4th Ed.). New York: Cambridge.

Baron, J., & Frisch, D. (1994). Ambiguous probabilities and the paradoxes of expected utility. In G. Wright & P. Ayton (Eds.), Subjective probability (pp. 273-294). Chichester, Sussex: Wiley.

Ben-Haim, Y. (2005). Info-gap decision theory for engineering design. Or: Why ‘good’ is preferable to ‘best.’ In E. Nikolaides, D. Ghiocel & Surendra Singhal (eds.) Engineering design reliability handbook (Chapter 11, pp. 1-24). Boca Raton: CRC Press.

Ben-Haim, Y. (2006). Info-gap decision theory: Decisions under severe uncertainty (2nd edition). London: Academic Press.

BEN-HAIM, Y. (2011). Info-Gap Economics: An Operational Introduction. New York: Palgrave-Macmillan.



Ben-Haim, Y. & Hipel, K.W. (2002). The graph model for conflict resolution with information gap uncertainty in preferences. Applied Mathematics and Computation, 126, (2), 319–340.

Ben-Haim, Y. & Jeske, K. (2003). Home-bias in financial markets: Robust satisficing with infogaps, Federal Reserve Bank of Atlanta, Working Paper Series, 2003-35, Dec. 2003. SSRN abstract and full paper at: http://ssrn.com/abstract=487585.

Ben-Haim, Y. & Laufer, A. (1998). Robust reliability of projects with activity-duration uncertainty, ASCE Journal of Construction Engineering and Management, 124, (2),125–132.

Brown, R. V. (1993). Impersonal probability as an ideal assessment based on accessible evidence: A viable and practical construct? Journal of Risk and Uncertainty, 7, (3), 215–235.

Bruine de Bruine, W., Parker, A., & Fischoff, B. (2007). Individual differences in adult decision making competence. Journal of Personality and Social Psychology, 92, (5), 938-956.

Burgman, M. (2005). Risks and decisions for conservation and environmental management. Cambridge: Cambridge University Press.

Camerer, C. F., & Weber, M. (1992). Recent developments in modeling preferences: Uncertainty and ambiguity. Journal of Risk and Uncertainty, 5, (2), 325–370.

Carmel, Y. & Ben-Haim, Y. (2005). Info-gap robust-satisficing model of foraging behavior: Do foragers optimize or satisfice? American Naturalist, 166, (5), 633–641.

DAVIDOVITCH, L. & BEN-HAIM, Y. (in press). Robust satisficing voting: Why are uncertain voters biased toward sincerity? Public Choice.



Ellsberg, D. (1961). Risk, ambiguity and the Savage axioms. Quarterly Journal of Economics, 75, (5), 643–669.

Fox, D.R., Ben-Haim, Y., Hayes, K.R., McCarthy, M., Wintle, B. & Dunstan, P. (2007). An info-gap approach to power and sample size calculations, Environmetrics, 18, (2), 189–203.

Ganzerli, S. & Pantelides, C.P. (2000). Optimum structural design via convex model superposition. Computers and Structures, 746, (6), 639–647.

Gigerenzer, G. (2004). Fast and frugal heuristics: The tools of bounded rationality. In D. Koehler & N. Harvey (Eds.), Handbook of judgment and decision making (pp. 62–88). New York: Oxford University Press.

Gigerenzer, G. (2007). Gut feelings: The intelligence of the unconscious. New York: Viking.

Gilbert, D.T. (2006). Stumbling on happiness. New York: Knopf.

Gilovich, T., Griffin, D., & Kahneman, D. (Eds.) (2002). Heuristics and biases: The psychology of intuitive judgment. New York: Cambridge University Press.

Iyengar, S.S., Wells, R.E., & Schwartz, B. (2006). Doing better but feeling worse: Looking for the “best” job undermines satisfaction. Psychological Science, 17, (2), 143–150.

Kahneman, D. (2003). A perspective on judgment and choice. American Psychologist, 58, (9), 697– 720.

Kahneman, D. & Tversky, A. (1984). Choices, values, and frames. American Psychologist, 39, (4), 341–350.

Kahneman, D. & Tversky, A. (Eds.) (2000). Choices, values, and frames. New York: Cambridge University Press.

Kanno Y. & Takewaki, I., (2006a). Robustness analysis of trusses with separable load and structural uncertainties. International Journal of Solids and Structures, 43, (9), 2646–2669.

Kanno, Y., & Takewaki, I., (2006b). Sequential semidefinite program for maximum robustness design of structures under load uncertainty. Journal of Optimization Theory and Applications, 130, (2), 265–287.

Klir, G.J. (2006). Uncertainty and information: Foundations of generalized information theory. New York: Wiley.

Knight, F.H. (1921). Risk, uncertainty and profit. Originally published by Hart, Schaffner and Marx. Re-issued 1965, New York: Harper Torchbooks.

Knoke, T. (2008). Mixed forests and finance—Methodological approaches, Ecological Economics, 65, (3), 590-601.

Lindberg, H.E. (1991). Dynamic response and buckling failure measures for structures with bounded and random imperfections. ASME Journal of Applied Mechanics, 58, (3), 1092–1094.

LOCKE, J. (1706/1997). An essay concerning human understanding (5th edition, R. Woolhouse, ed.). New York: Penguin Books.



Mas-Colell, A., Whinston, M.D. & Green, J.R. (1995). Microeconomic theory. Oxford: Oxford University Press.

McCarthy, M.A. & Lindenmayer, D.B. (2007). Info-gap decision theory for assessing the management of catchments for timber production and urban water supply. Environmental Management, 39, (5), 553–562.

MARKUS, H. & SCHWARTZ, B. (2010). Does choice mean freedom and well being? Journal of Consumer Research, 37, 344-355.



Mehra, R. & Prescott, E.C. (1985). The equity premium: A puzzle. Journal of Monetary Economics, 15, (1), 145–161.

Moffitt, L.J., Stranlund, J.K. & Field, B.C. (2005). Inspections to avert terrorism: Robustness under severe uncertainty. Journal of Homeland Security and Emergency Management, 2, (3), http://www.bepress.com/jhsem/vol2/iss3/3

Over, D. (2004). Rationality and the normative/descriptive distinction. In D. J. Koehler & N. Harvey (Eds.), Blackwell handbook of judgment and decision making (pp.3-18). Malden, MA.: Blackwell.

Pantelides C.P. & Ganzerli, S. (1998). Design of trusses under uncertain loads using convex models. ASCE Journal of Structural Engineering, 124, (5), 318–329.

Pierce, S.G., Ben-Haim, Y., Worden, K. & Manson, G. (2006). Evaluation of neural network robust reliability using information-gap theory. IEEE Transactions on Neural Networks, 17, (6), 1349–1361.

Quiggin, J. (1993). Generalized expected utility theory: The rank-dependent model. Dordrecht: Kluwer Academic.

Regan, H.M., Ben-Haim, Y., Langford, B., Wilson, W.G., Lundberg, P., Andelman, S.J. & Burgman, M.A. (2005). Robust decision making under severe uncertainty for conservation management. Ecological Applications, 15, (4), 1471–1477.

Regev, S., Shtub A. & Ben-Haim, Y. (2006) Managing project risks as knowledge gaps. Project Management Journal, 37, (5), 17–25.

Savage, L. J. (1954). The foundations of statistics. New York: Wiley.

Schwartz, B. (2004). The paradox of choice: Why more is less. New York: Ecco.

Schwartz, B. (2005). Top colleges should select randomly from a pool of “good enough.” Chronicle of Higher Education, February 25, 2005, B20-B25.

Schwartz, B., Ward, A., Monterosso, J., Lyubomirsky, S. & Lehman, D.R. (2002). Maximizing versus satisficing: Happiness is a matter of choice. Journal of Personality and Social Psychology, 83, (5), 1178–1197.

Simon, H.A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 59, (1), 99–118.

Simon, H.A. (1956). Rational choice and the structure of the environment. Psychological Review, 63, (2), 129–138.

Simon, H.A. (1957). Models of man, social and rational: Mathematical essays on rational human behavior. New York: Wiley.

TALEB, N. N. (2007). The black swan. New York: Random House.



Todd, P.M. & Gigerenzer, G. (2003). Bounding rationality to the world. Journal of Economic Psychology, 24, (2), 143–165.

von Winterfeldt, D. & and Edwards, W. (1986). Decision analysis and behavioral research. New York: Cambridge University Press.

Wilson, T.D. & Gilbert, D.T. (2005). Affective forecasting: Knowing what to want. Current Directions in Psychological Science, 14, (3), 131–134.

Schwartz et al 8/03/10
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