Skip to main content

Entscheiden unter Unsicherheit

  • Chapter
  • First Online:
Die Psychologie der Entscheidung

Zusammenfassung

Wir haben in Abschn. 2.1.2 bei der Besprechung von unsicheren Ereignissen darauf hingewiesen, dass grundsätzlich alle Entscheidungen unter Unsicherheit getroffen werden, weil die Konsequenzen jeder Entscheidung immer erst nach der Entscheidung eintreten und daher nie in einem absoluten Sinne sicher sein können. Dennoch unterscheidet man praktisch und theoretisch Situationen, in denen die Konsequenzen von Entscheidungen als sicher angenommen werden können, von Situationen, in denen sie als unsicher gelten und in denen diese Unsicherheit für die Entscheidung eine Rolle spielt. In den Kap. 3 und 4 haben wir Entscheidungen unter Sicherheit behandelt; die Wahl zwischen Optionen wurde mit dem Nutzen der Konsequenzen erklärt. In Kap. 5 haben wir dann den Aspekt der Unsicherheit behandelt, zunächst weitgehend unabhängig von seiner Bedeutung für Entscheidungen zwischen Optionen. In diesem Kapitel geht es nun um Entscheidungen, in denen sowohl der Nutzen als auch die Unsicherheit der Konsequenzen relevant sind. In Theorien zum Entscheiden unter Unsicherheit wird die kognitive Integration der beiden Faktoren Nutzen und Unsicherheit formuliert, in der Empirie wird geprüft, ob bzw. wie gut sich beobachtbares Entscheidungsverhalten mit diesen Theorien beschreiben lässt. Gemeinsam ist allen Theorien, um die es in diesem Kapitel geht, eine konsequentialistische Grundannahme: Entscheidungen werden in Hinblick auf ihre Folgen getroffen. Auf nichtkonsequentialistische Ansätze gehen wir in den folgenden Kapiteln, vor allem in Kap. 8 und 9 ein.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Similar content being viewed by others

Literatur

  • Allais, M. (1953). Le comportemente de l’homme rationnel devant le risque: Critique des postulats et axiomes de l’ecole Americaine. Econometrica, 21, 503–546.

    Google Scholar 

  • Barbera, S., Hammond, P. J., & Seidl, C. (Hrsg.). (1998). Handbook of utility theories. Volume 1: Principles. Boston, MA: Kluwer.

    Google Scholar 

  • Barbera, S., Hammond, P. J., & Seidl, C. (Hrsg.). (2004). Handbook of utility theories. Volume 2: Extensions. Boston, MA: Kluwer.

    Google Scholar 

  • Barberis, N. (2013). Thirty years of prospect theory in economics: a review and assessment. Journal of Economic Perspectives, 27(1), 173–196.

    Google Scholar 

  • Battalio, R. C., Kagel, J. H., & Jiranyakul, K. (1990). Testing between alternative models of choice under uncertainty: some initial results. Journal of Risk and Uncertainty, 3, 25–50.

    Google Scholar 

  • Bazerman, M. H. (1984). The relevance of Kahneman and Tversky’s concept of framing to organizational behavior. Journal of Management, 10, 333–343.

    Google Scholar 

  • Bazerman, M. H. (2002). Judgment in managerial decision making (5. Aufl.). New York:Wiley.

    Google Scholar 

  • Beach, L. R. (1990). Image theory: decision making in personal and organizational contexts. Chichester: Wiley.

    Google Scholar 

  • Beach, L. R., & Lipshitz, R. (1993). Why classical decision theory is an inappropriate standard for evaluating and aiding most human decision making. In G. A. Klein, J. Orasanu, R. Calderwood, & C. E. Zsambok (Hrsg.), Decision making in action: Models and methods (S. 21–35). Norwood, NJ: Ablex.

    Google Scholar 

  • Beach, L. R., Vlek, C., & Wagenaar, W. A. (1988). Models and methods for unique versus repeated decision making. Leiden: Leiden University, Department of Psychology.

    Google Scholar 

  • Becker, G. S. (1981). A treatise on the family. Cambridge: Harvard University Press.

    Google Scholar 

  • Bell, D. E. (1982). Regret in decision making under uncertainty. Operations Research, 30, 961–981.

    Google Scholar 

  • Bell, D. E. (1985). Disappointment in decision making under uncertainty. Operations Research, 33, 1–27.

    Google Scholar 

  • Benartzi, S., & Thaler, R. (1999). Risk aversion or myopia? Choices in repeated gambles and retirement investments. Management Science, 45(3), 364–381.

    Google Scholar 

  • Betsch, T., & Kraus, M. (1999). Die Auswirkungen von Ergebnis-Framing und dem Wechsel der Problemdomäne auf monetäre Entscheidungen. Zeitschrift für Experimentelle Psychologie, 46, 296–304.

    Google Scholar 

  • Bier, V. M., & Connell, B. L. (1994). Ambiguity seeking in multi-attribute decisions: effects of optimism and message framing. Journal of Behavioral and Decision Making, 7, 169–182.

    Google Scholar 

  • Birnbaum, M. H. (2008). New tests of cumulative prospect theory and the priority heuristic: probability-outcome tradeoff with branch splitting. Judgment and Decision Making, 3(4), 304–316.

    Google Scholar 

  • Bless, H., Betsch, T., & Franzen, A. (1998). Framing the framing effect: the impact of context cues on solutions to the „Asian disease“ problem. European Journal of Social Psychology, 28(2), 287–291.

    Google Scholar 

  • Borcherding, K. (1983). Entscheidungstheorie und Entscheidungshilfeverfahren für komplexe Entscheidungssituationen. In M. Irle (Hrsg.), Handbuch der Psychologie, Bd. 12: Marktpsychologie, 2. Halbbd. (S. 65–173). Göttingen: Hogrefe.

    Google Scholar 

  • Bottom, W. P., & Studt, A. (1993). Framing effects and the distributive aspect of integrative bargaining. Organizational Behavior and Human Decision Processes, 56, 459–474.

    Google Scholar 

  • Brachinger, H. W., & Weber, M. (1997). Risk as a primitive: a survey of measures of perceived risk. OR Spektrum, 19(4), 235–250.

    Google Scholar 

  • Brandstätter, E., Gigerenzer, G., & Hertwig, R. (2006). The priority heuristic: making choices without trade-offs. Psychological Review, 113(2), 409–432.

    PubMed  Google Scholar 

  • Brandstätter, E., Gigerenzer, G., & Hertwig, R. (2008). Risky choice with heuristics: reply to Birnbaum (2008), Johnson, Schulte-Mecklenbeck, and Willemsen (2008), and Rieger and Wang (2008). Psychological Review, 115(1), 281–289.

    PubMed  Google Scholar 

  • Busemeyer, J. R., Johnson, J. G., & Jessup, R. K. (2006). Preferences constructed from dynamic microprocessing mechanisms. In S. Lichtenstein, & P. Slovic (Hrsg.), The construction of preference (S. 220–234). New York: Cambridge University Press.

    Google Scholar 

  • Camerer, C. (1989). An experimental test of several generalized utility theories. Journal of Risk and Uncertainty, 2, 61–104.

    Google Scholar 

  • Camerer, C. (1992). Recent tests of generalizations of expected utility theory. In W. Edwards (Hrsg.), Utility theories: Measurements and applications (S. 207–251). Boston: Kluwer.

    Google Scholar 

  • Camerer, C. (2000). Prospect theory in the wild. Evidence from the field. In D. Kahneman, & A. Tversky (Hrsg.), Choices, values, and frames (S. 288–300). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Camerer, C., Loewenstein, G., & Rabin, M. (Hrsg.). (2004). Advances in behavioral economics. New York: Russell Sage Foundation.

    Google Scholar 

  • Camerer, C., & Weber, M. (1992). Recent developments in modeling preferences - uncertainty and ambiguity. Journal of Risk and Uncertainty, 5(4), 325–370. https://doi.org/10.1007/bf00122575..

    Article  Google Scholar 

  • Cohen, M., Jaffray, J.-Y., & Said, T. (1987). Experimental comparison of individual behavior under risk and under uncertainty for gains and for losses. Organizational Behavior and Human Decision Processes, 39(1), 1–22. https://doi.org/10.1016/0749-5978(87)90043-4.

    Article  Google Scholar 

  • Coombs, C. H., Dawes, R. M., & Tversky, Amos (1975). Mathematische Psychologie. Weinheim: Beltz.

    Google Scholar 

  • Cosmides, L. (1989). The logic of social exchange: has natural selection shaped how humans reason? Studies with the Wason selection task. Cognition, 31(3), 187–276. https://doi.org/10.1016/0010-0277(89)90023-1.

    Article  PubMed  Google Scholar 

  • Cosmides, L., & Tooby, J. (1987). From evolution to behavior: evolutionary psychology as the missing link. In J. Dupré, & J. Dupré (Hrsg.), The latest on the best: Essays on evolution and optimality. (S. 276–306). Cambridge, MA: The MIT Press.

    Google Scholar 

  • di Cagno, D., & Hey, J. D. (1988). A direct test of the original version of Regret Theory. Journal of Behavioral Decision Making, 1(1), 43–56. https://doi.org/10.1002/bdm.3960010106.

    Article  Google Scholar 

  • Edwards, W. (1954). The theory of decision making. Psychological Bulletin, 51(4), 380–417.

    PubMed  Google Scholar 

  • Edwards, W. (1955). The prediction of decisions among bets. Journal of Experimental Psychology, 50(3), 201–214.

    PubMed  Google Scholar 

  • Edwards, W. (1961). Behavioral decision theory. Annual Review of Psychology, 12, 473–498. https://doi.org/10.1146/annurev.ps.12.020161.002353.

    Article  PubMed  Google Scholar 

  • Edwards, W. (Hrsg.). (1992). Utility theories: Measurement and applications. Boston: Kluwer.

    Google Scholar 

  • Edwards, W., & Tversky, A. (1967). Decision making. Harmondsworth: Penguin.

    Google Scholar 

  • Einhorn, H. J., & Hogarth, R. M. (1985). Ambiguity and uncertainty in probabilistic inference. Psychological Review, 92(4), 433–461.

    Google Scholar 

  • Einhorn, H. J., & Hogarth, R. M. (1987). Decision making under ambiguity. In R. M. Hogarth, & M. W. Reder (Hrsg.), Rational choice: The contrast between economics and psychology. (S. 41–66): University of Chicago Press.

    Google Scholar 

  • Eisenführ, F., Weber, M., & Langer, T. (2010). Rationales Entscheiden (5. Aufl.). Berlin: Springer.

    Google Scholar 

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

    Google Scholar 

  • Fagley, N. S., & Miller, P. M. (1987). The effects of decision framing on choice of risky vs certain options. Organizational Behavior and Human Decision Processes, 39(2), 264–277. https://doi.org/10.1016/0749-5978(87)90041-0.

    Article  Google Scholar 

  • Feather, N. T. E. (Hrsg.). (1982). Expectations and actions: Expectancy-value models in psychology. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Fiedler, S., & Glöckner, A. (2012). The dynamics of decision making in risky choice: an eye-tracking analysis. Frontiers in Psychology, 3(335), 1–18. https://doi.org/10.3389/fpsyg.2012.00335.

    Article  Google Scholar 

  • Fischhoff, B. (1983). Predicting frames. Journal of Experimental Psychology: learning, Memory, and Cognition, 9, 103–116.

    Google Scholar 

  • Fox, C. R., & See, K. E. (2003). Belief and preference in decision under uncertainty. In D. Hardman, & L. Macchi (Hrsg.), Thinking: Psychological perspectives on reasoning, judgment, and decision making (S. 273–314). New York: Wiley.

    Google Scholar 

  • Frisch, D. (1993). Reasons for framing effects. Organizational Behavior and Human Decision Processes, 54, 399–429.

    Google Scholar 

  • Gigerenzer, G., Hertwig, R., & Pachur, T. (Hrsg.). (2011). Heuristics. The foundations of adaptive behavior. Oxford, UK: Oxford University Press.

    Google Scholar 

  • Glöckner, A., & Betsch, T. (2008). Do people make decisions under risk based on ignorance? An empirical test of the priority heuristic against cumulative prospect theory. Organizational Behavior and Human Decision Processes, 107(1), 75–95.

    Google Scholar 

  • Glöckner, A., & Pachur, T. (2012). Cognitive models of risky choice: parameter stability and predictive accuracy of prospect theory. Cognition, 123(1), 21–32.

    PubMed  Google Scholar 

  • Gonzalez, R., & Wu, G. (1999). On the shape of the probability weighting function. Cognitive Psychology, 38, 129–166. doi:cogp.1998.0710.

    PubMed  Google Scholar 

  • Harless, D. W., & Camerer, C. F. (1994). The predictice utility of generalized expected utility theories. Econometrica, 62(6), 1251–1289. https://doi.org/10.2307/2951749.

    Article  Google Scholar 

  • Hastie, R., & Dawes, R. (2010). Rational choice in an uncertain world. The psychology of judgment and decision making (2. Aufl.). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Heath, C., & Tversky, A. (1991). Preference and belief: ambiguity and competence in choice under uncertainty. Journal of Risk and Uncertainty, 4(1), 5–28. https://doi.org/10.1007/bf00057884.

    Article  Google Scholar 

  • Hertwig, R., Barron, G., Weber, E. U., & Erev, I. (2004). Decisions from experience and the effect of rare events in risky choice. Psychological Science, 15(8), 534–539.

    PubMed  Google Scholar 

  • Hertwig, R., & Erev, I. (2009). The description-experience gap in risky choice. Trends in Cognitive Science, 13(12), 517–523. https://doi.org/10.1016/j.tics.2009.09.004.

    Article  Google Scholar 

  • Hilbig, B. E. (2008). One-reason decision making in risky choice? A closer look at the priority heuristic. Judgment and Decision Making, 3(6), 457–462.

    Google Scholar 

  • Huber, O. (1995). Ambiguity and perceived control. Swiss Journal of Psychology - Schweizerische Zeitschrift für Psychologie – Revue Suisse de Psychologie, 54(3), 200–210.

    Google Scholar 

  • Huber, O., & Kühberger, A. (1996). Decision processes and decision trees in gambles and more natural decision tasks. Journal of Psychology, 130(3), 329–339.

    Google Scholar 

  • Johnson, E. J., Schulte-Mecklenbeck, M., & Willemsen, M. C. (2008). Process models deserve process data: comment on Brandstätter, Gigerenzer, and Hertwig (2006). Psychological Review, 115(1), 263–273.

    PubMed  Google Scholar 

  • Kahneman, D. (2011). Thinking, fast and slow. London: Penguin.

    Google Scholar 

  • Kahneman, D., & Lovallo, D. (1993). Timid choices and bold forecasts: a cognitive perspective on risk taking. Management Science, 39(1), 17–31.

    Google Scholar 

  • Kahneman, D., & Snell, J. S. (1992). Predicting a changing taste: do people know what they will like? Journal of Behavioral Decision Making, 5(3), 187–200.

    Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47(2), 263–291.

    Google Scholar 

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

    Google Scholar 

  • Kahneman, D., & Tversky, A. (Hrsg.). (2000). Choices, values, and frames. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Katsikopoulos, K. V., & Gigerenzer, G. (2008). One-reason decision-making: modeling violations of expected utility theory. Journal of Risk and Uncertainty, 37(1), 35–56.

    Google Scholar 

  • Keller, R. L. (1992). Properties of utility theories and related empirical phenomena. In W. Edwards (Hrsg.), Utility theories: Measurement and applications (pp. 3–23). Boston: Kluwer.

    Google Scholar 

  • Keren, G. (Hrsg.). (2011). Perspectives on framing. New York: Psychology Press.

    Google Scholar 

  • Klein, G. A. (1993). Twenty questions: suggestions for research in naturalistic decision making. In G. A. Klein, J. Orasanu, R. Calderwood, & C. E. Zsambok (Hrsg.), Decision making in action: Models and methods (S. 389–403). Norwood, NJ: Ablex.

    Google Scholar 

  • Klein, G. A., Orasanu, J., Calderwood, R., & Zsambok, C. E. (Hrsg.). (1993). Decision making in action: Models and methods. Norwood, NJ: Ablex Publishing.

    Google Scholar 

  • Knight, F. H. (1921). Risk, uncertainty, and profit. New York: Houghton Mifflin.

    Google Scholar 

  • Koehler, D. J., & Harvey, N. (Hrsg.). (2004). Blackwell Handbook of Judgment & Decision Making. Malden, MA: Blackwell.

    Google Scholar 

  • Kühberger, A. (1994). Risiko und Unsicherheit: Zum Nutzen des Subjective Expected Utility-Modells. Psychologische Rundschau, 45(1), 3–23.

    Google Scholar 

  • Kühberger, A. (1995). The framing of decisions: a new look at old problems. Organizational Behavior and Human Decision Processes, 62, 230–240.

    Google Scholar 

  • Kühberger, A. (1998). The influence of framing on risky decisions: a meta-analysis. Organizational Behavior and Human Decision Processes, 75(1), 23–55. https://doi.org/10.1006/obhd.1998.2781.

    Article  PubMed  Google Scholar 

  • Kühberger, A., & Gradl, P. (2013). Choice, rating, and ranking: framing effects with different response modes. Journal of Behavioral Decision Making, 26(2), 109–117. https://doi.org/10.1002/bdm.764.

    Article  Google Scholar 

  • Kühberger, A., Schulte-Mecklenbeck, M., & Perner, J. (1999). The effects of framing, reflection, probability, and payoff on risk preference in choice tasks. Organizational Behavior and Human Decision Processes, 78(3), 204–231. https://doi.org/10.1006/obhd.1999.2830.

    Article  PubMed  Google Scholar 

  • Kühberger, A., & Tanner, C. (2010). Risky choice framing: task versions and a comparison of prospect theory and fuzzy-trace theory. Journal of Behavioral Decision Making, 23, 314–329.

    Google Scholar 

  • Kuhn, T. S. (1967). Die Struktur wissenschaftlicher Revolutionen. Frankfurt a. M.: Suhrkamp.

    Google Scholar 

  • Landman, J. (1987). Regret and elation following action and inaction: affective responses to positive versus negative outcomes. Personality and Social Psychology Bulletin, 13, 524–536.

    Google Scholar 

  • Landman, J. (1993). Regret: Persistence of the possible. New York: Oxford University Press.

    Google Scholar 

  • LeBoeuf, R. A., & Shafir, E. (2003). Deep thoughts and shallow frames; on the susceptibility to framing effects. Journal of Behavioral Decision Making, 16(2), 77–92.

    Google Scholar 

  • Lee, W. (1977). Psychologische Entscheidungstheorie. Weinheim: Beltz.

    Google Scholar 

  • Levin, I. P., Gaeth, G. J., Schreiber, J., & Lauriola, M. (2002). A new look at framing effects: distribution of effect sizes, individual differences, and independence of types of effects. Organizational Behavior and Human Decision Processes, 88(1), 411–429.

    Google Scholar 

  • Levin, I. P., Schneider, S. L., & Gaeth, G. J. (1998). All frames are not created equal: a typology and critical analysis of framing effects. Organizational Behavior and Human Decision Processes, 76(2), 149–188.

    PubMed  Google Scholar 

  • Levin, I. P., Schnittjer, S. K., & Thee, S. L. (1988). Information framing effects in social and personal decisions. Journal of Experimental Social Psychology, 24(6), 520–529. https://doi.org/10.1016/0022-1031(88)90050-9.

    Article  Google Scholar 

  • Levin, I. P., Johnson, R. D., Russo, C. P., & Deldin, P. J. (1985). Framing effects in judgment tasks with varying amounts of information. Organizational Behavior and Human Decision Processes, 36, 362–377.

    Google Scholar 

  • Lichtenstein, S., & Slovic, P. (Hrsg.). (2006). The construction of preference. New York: Cambridge University Press.

    Google Scholar 

  • Lindemann, B. L. (1993). The effects of social context on grain producers’ decision to sell or hold grain. Unpublished doctoral thesis, University of Iowa.

    Google Scholar 

  • Lipshitz, R. (1994). Decision making in three modes. Journal for the Theory of Social Behaviour, 24(1), 47–65. https://doi.org/10.1111/j.1468-5914.1994.tb00246.x.

    Article  Google Scholar 

  • Loomes, G. (1988). Further evidence of the impact of regret and disappointment in choice under uncertainty. Economica, 55, 47–62.

    Google Scholar 

  • Loomes, G., & Sugden, R. (1982). Regret theory: an alternative theory of rational choice under uncertainty. Economic Journal, 92, 805–824.

    Google Scholar 

  • Loomes, G., & Sugden, R. (1986). Disappointment and dynamic consistency in choice under uncertainty. Review of Economic Studies, 53, 271–282.

    Google Scholar 

  • Loomes, G., & Sugden, R. (1987). Testing for regret and disappointment in choice under uncertainty. Economic Journal, 97, 118–129.

    Google Scholar 

  • Lopes, L. L. (1987). Between hope and fear: the psychology of risk. Advances in Experimental Social Psychology, 20, 255–295.

    Google Scholar 

  • Lopes, L. L. (1990). Remodeling risk aversion: a comparison of Bernoullian and rank dependent value approaches. In G. M. von Furstenberg (Hrsg.), Acting under uncertainty: Multidisciplinary conceptions (S. 267–299). Boston: Kluwer.

    Google Scholar 

  • Lopes, L. L. (1995). On modeling risky choice: why reasons matter. In J. P. Caverni, F. H. Barron, & H. Jungermann (Hrsg.), Contributions to decision making (S. 29–50). Amsterdam: Elsevier.

    Google Scholar 

  • Lopes, L. L. (1996). When time is of the essence: averaging, aspiration, and the short run. Organizational Behavior and Human Decision Processes, 65(3), 179–189. https://doi.org/10.1006/obhd.1996.0017.

    Article  Google Scholar 

  • Lopes, L. L., & Oden, G. C. (1999). The role of aspiration level in risky choice: a comparison of cumulative prospect theory and SP/A theory. Journal of Mathematical Psychology, 43, 286–313. doi:jmps.1999.1259.

    PubMed  Google Scholar 

  • Luce, R. D., & Raiffa, H. (1957). Games and decisions. New York: Wiley.

    Google Scholar 

  • Luce, R. D. (1996). Commentary on aspects of Lola Lopes’ paper. Organizational Behavior and Human Decision Processes, 65(3), 190–193. https://doi.org/10.1006/obhd.1996.0018.

    Article  Google Scholar 

  • Luce, R. D., & Krantz, D. H. (1971). Conditional expected utility. Econometrica, 39, 253–271.

    Google Scholar 

  • Mandel, D. R. (2001). Gain-loss framing and choice: separating outcome formulations from descriptor formulations. Organizational Behavior and Human Decision Processes, 85(1), 56–76.

    PubMed  Google Scholar 

  • Marteau, T. M. (1989). Framing of information: its influence upon decisions of doctors and patients. British Journal of Social Psychology, 28(1), 89–94. https://doi.org/10.1111/j.2044-8309.1989.tb00849.x.

    Article  PubMed  Google Scholar 

  • Martignon, L., & Hoffrage, U. (1999). Why does one-reason decision making work? A case study in ecological rationality. In G. Gigerenzer, & P. M. Todd (Hrsg.), Simple heuristics that make us smart (S. 119–140) New York: Oxford University Press.

    Google Scholar 

  • McDermott, R. (1998). Adolescent HIV prevention and intervention: a prospect theory analysis. Psychology, Health & Medicine, 3(4), 371–385.

    Google Scholar 

  • McDermott, R. (2004). Prospect theory in political science: gains and losses from the first decade. Political Psychology, 25(2), 289–312.

    Google Scholar 

  • McNeil, B., Pauker, S. G., Sox, H. C., & Tversky, A. (1982). On the elicitation of preferences for alternative therapies. The New England Journal of Medicine, 306, 1259–1262.

    PubMed  Google Scholar 

  • Mellers, B. A. (2001). Utility and subjective probability: empirical studies. In N. J. Smelser, & P. B. Baltes (Hrsg.), International Encyclopedia of the Social & Behavioral Sciences (S. 16121–16123). Amsterdam: Elsevier Science Ltd.

    Google Scholar 

  • Mellers, B. A., Schwartz, A., Ho, K., & Ritov, I. (1997). Decision affect theory: emotional reactions to the outcomes of risky options. Psychological Science, 8(6), 423–429.

    Google Scholar 

  • von Neumann, J., & Morgenstern, O. (1947). Theory of games and economic behavior (2. Aufl.). Princeton: Princeton University Press.

    Google Scholar 

  • Nygren, T. E. (1977). The relationship between the perceived risk and attractiveness of gambles: a multidimensional analysis. Applied Psychological Measurement, 1, 565–579.

    Google Scholar 

  • Pachur, T., Hertwig, R., Gigerenzer, G., & Brandstatter, E. (2013). Testing process predictions of models of risky choice: a quantitative model comparison approach. Frontiers in Psychology, 4, 646. https://doi.org/10.3389/fpsyg.2013.00646.

    Article  PubMed  PubMed Central  Google Scholar 

  • Pascal, B. (2016/1669). Pensées/Gedanken. Darmstadt: Wissenschaftliche Buchgesellschaft.

    Google Scholar 

  • Pfister, H.-R. (1994). Noch immer von Nutzen- das SEU-Modell. Kommentar zu Kühbergers Artikel über den Stellenwert des Subjective-Expected Utility-Modells (SEU). Psychologische Rundschau, 45, 157–160.

    Google Scholar 

  • Plous, S. (1993). The psychology of judgment and decision making. New York: McGraw-Hill.

    Google Scholar 

  • Read, D., Loewenstein, G., & Rabin, M. (1999). Choice bracketing. Journal of Risk and Uncertainty, 19(1–3), 171–197.

    Google Scholar 

  • Reyna, V. F. (2004). How people make decisions that involve risk - a dual-process approach. Current Directions in Psychological Science, 13(2), 60–66.

    Google Scholar 

  • Reyna, V. F., & Brainerd, C. J. (1991). Fuzzy-trace theory and framing affects in choice: gist extraction, truncation, and conversion. Journal of Behavioral Decision Making, 4, 249–262.

    Google Scholar 

  • Rottenstreich, Y., & Hsee, C. K. (2001). Money, kisses, and electric shocks: on the affective psychology of risk. Psychological Science, 12(3), 185–190.

    PubMed  Google Scholar 

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

    Google Scholar 

  • Schmook, R., Bendrien, J., Frey, D., & Wänke, M. (2002). Prospekttheorie. In D. Frey, & M. Irle (Hrsg.), Theorien der Sozialpsychologie, Bd. 3 (S. 279–311). Bern: Huber.

    Google Scholar 

  • Schneider, S. L. (1992). Framing and conflict: aspiration level contingency, the status quo, and current theories of risky choice. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 1040–1057.

    PubMed  Google Scholar 

  • Schoemaker, P. J. H., & Hershey, J. C. (1996). Maximizing your chance of winning: the long and short of it revisited. Organizational Behavior and Human Decision Processes, 65(3), 194–200. https://doi.org/10.1006/obhd.1996.0019.

    Article  Google Scholar 

  • Scott, J. (2000). Rational choice theory. In G. Browning, A. Halcli, & F. Webster (Hrsg.), Understanding contemporary society: Theories of the present (S. 126–138). London: Sage.

    Google Scholar 

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

    PubMed  Google Scholar 

  • Slovic, P., & Tversky, Amos (1974). Who accepts Savage’s axiom? Behavioral Science, 19(6), 368–373.

    Google Scholar 

  • Slovic, P. (Hrsg.). (2000). The perception of risk. London: Earthscan.

    Google Scholar 

  • Slovic, P., Fischhoff, B., & Lichtenstein, S. (1982). Response mode, framing, and information-processing effects in risk assessment. In E. Horgarth (Hrsg.), New directions for methodology of social and behavioral science: Question framing and response consistency (S. 21–36). San Francisco: Jossey-Bass.

    Google Scholar 

  • Soman, D. (2004). Framing, loss aversion, and mental accounting. In D. J. Koehler, & N. Harvey (Hrsg.), Blackwell handbook of judgment and decision making (S. 379–398). Malden, MA: Blackwell.

    Google Scholar 

  • Stocké, V. (1998). Framing oder Informationsknappheit? Zur Erklärung der Formulierungseffekte beim Asian-Disease-Problem. In U. Druwe, & V. Kunz (Hrsg.), Anomalien in Handlungs- und Entscheidungstheorien (S. 197–218). Obladen: Leske & Budrich.

    Google Scholar 

  • Stocké, V. (2002). Framing und Rationalität: Die Bedeutung der Informationsdarstellung für das Entscheidungsverhalten. München: Oldenbourg Verlag.

    Google Scholar 

  • Thaler, R. H. (Hrsg.). (2005). Advances in behavioral finance. New York: Russell Sage Foundation.

    Google Scholar 

  • Trepel, C., Fox, C. R., & Poldrack, R. A. (2005). Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk. Cognitive Brain Research, 23(1), 34–50.

    PubMed  Google Scholar 

  • Tversky, A. (1969). Intransitivity of preferences. Psychological Review, 76(1), 31–48. doi:dx.doi.org/10.1037/h0026750.

    Google Scholar 

  • Tversky, A., & Fox, C. R. (1995). Weighing risk and uncertainty. Psychological Review, 102, 269–283.

    Google Scholar 

  • Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458. https://doi.org/10.1126/science.7455683.

    Article  PubMed  Google Scholar 

  • Tversky, A., & Kahneman, D. (1986). Rational choice and the framing of decisions. The Journal of Business, 59(4), 251–278.

    Google Scholar 

  • Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323.

    Google Scholar 

  • van Schie, E. C. M. (1991). Frame of reference in causal judgment and risky choice. Universiteit van Amsterdam, Amsterdam.

    Google Scholar 

  • van Schie, E. C. M., & van der Pligt, J. (1990). Problem representation, frame preference, and risky choice. Acta Psychologica, 75(3), 243–259.

    Google Scholar 

  • Wakker, P. (1989). Continuous subjective expected utility with non-additive probabilities. Journal of Mathematical Economics, 18(1), 1–27.

    Google Scholar 

  • Wakker, P. P. (2010). Prospect theory: For risk and ambiguity. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Wang, X. T. (1996). Framing effects: dynamics and task domains. Organizational Behavior and Human Decision Processes, 68(2), 145–157. https://doi.org/10.1006/obhd.1996.0095.

    Article  PubMed  Google Scholar 

  • Weber, E. U. (1994). From subjective probabilities to decision weights: the effect of asymmetric loss functions on the evaluation of uncertain outcomes and events. Psychological Bulletin, 115, 228–242.

    Google Scholar 

  • Weber, E. U., Anderson, C. J., & Birnbaum, M. H. (1992). A theory of perceived risk and attractiveness. Organizational Behavior and Human Decision Processes, 52(3), 492–523. https://doi.org/10.1016/0749-5978(92)90030-B.

    Article  Google Scholar 

  • Weber, E. U., & Kirsner, B. (1996). Reasons for rank-dependent utility evaluation. Journal of Risk and Uncertainty, 14, 41–61.

    Google Scholar 

  • Weber, M., & Camerer, C. (1987). Recent developments in modelling preferences under risk. OR Spektrum, 9, 129–151.

    Google Scholar 

  • Wu, G., Zhang, J., & Gonzalez, R. (2004). Decision under risk. In N. Harvey, & D. J. Koehler (Hrsg.), Blackwell handbook of judgment and decision making (S. 399–423). Malden, MA: Blackwell Publishing.

    Google Scholar 

  • Yates, F. J. (1990). Judgment and decision making. Englewood Cliffs: Prentice Hall.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Pfister, H.R., Jungermann, H., Fischer, K. (2017). Entscheiden unter Unsicherheit. In: Die Psychologie der Entscheidung. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53038-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-53038-2_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-53037-5

  • Online ISBN: 978-3-662-53038-2

  • eBook Packages: Psychology (German Language)

Publish with us

Policies and ethics