General risk constraints

REFERENCES

• Allais, M. (1953) Fondements d'une Théorie Positive des Choix Comportant un Risque et Critique des Postulats et Axioms de L'Ecole Americane. Dordrecht: D. Reidel.
   Google Scholar
• Boman, M. (1999) Norms in artificial decision making. Artificial Intelligence and Law 7, 17-35.
   Google Scholar
• Boman, M. and Ekenberg, L. (1995) Decision making agents with relatively unbounded rationality, in E. Nawarecki (ed.). Proceedings of DIMAS'95. pp. I/28-I/35. Krakow: AGH.
   Google Scholar
• Choquet, G. (1953/54) Theory of capacities. Annales de I'Institut Fourier 5. 131-295.
   Google Scholar
• Danielson, M. (1997) Computational decision analysis. Doctoral dissertation. Department of Computer and Systems Sciences: Royal Institute of Technology.
   Google Scholar
• Danielson, M. and Ekenberg, L. (1998) A framework for analysing decisions under risk. European Journal of Operational Research 104, 474-484.
   Google Scholar
• Dempster, A.P. (1967) Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics 38. 325-339.
   Google Scholar
• Doyle, J., Thomason, R., Friedman, N., Monderev, D., Tennenholtz, M. and Wellman, M. (1997) Qualitative preferences in deliberation and practical reasoning. Working notes. Stanford, CA: Stanford University.
   Google Scholar
• Ekenberg, L. Danielson, M. and Boman, M. (1996) From local assessments to global rationality. International Journal of Intelligent and Cooperative Information Systems 5, 315-331.
   Google Scholar
• Ekenberg, L., Danielson, M. and Boman, M. (1997) Imposing security constraints on agent-based decision support. Decision Support Systems 20, 3-15.
   Google Scholar
• Ekenberg, L. and Thorbiörnson, J. (1997) Modelling indeterminacy in decision situations. IIASA report series IR-97-044.
   Google Scholar
• Ellsberg, D. (1961) Risk, ambiguity, and the savage axioms. Quarterly Journal of Economics 75. 643-669.
   Google Scholar
• Fischhoff, B.. Goitein, B. and Shapira, Z. (1983) Subjective expected utility: a model of decisionmaking, in R.W. Scholz (ed.). Decision Making under Uncertainty, pp. 183-207. Amsterdam: Elsevier/North-Holland.
   Google Scholar
• Fishburn, P. (1981) Subjective expected utility: a review of normative theories. Theory and Decision 13, 139-199.
   Google Scholar
• Funtowicz, S.O. and Ravetz, J.R. (1990) Uncertainty and Quality in Science for Public Policy. Dordrecht: Kluwer.
   Google Scholar
• Funtowicz, S.O. and Ravetz, J.R. (1992) Three types of risk assessment and the emergence of post-normal science, in S. Krimsky and D. Golding (eds). Social Theories of Risk. pp. 251-273. Westport, CT: Praeger.
   Google Scholar
• Gmytrasiewicz, PJ. and Durfee, E. H. (1993) Elements of a utilitarian theory of knowledge and action. Proceedings of the 13th International Joint Conference on Artificial Intelligence, pp. 396-402.
   Google Scholar
• Good, I.J. (1962) Subjective probability as the measure of a non-measurable set. in P. Suppes. E. Nagel and A. Tarski (eds). Logic, Methodology, and the Philosophy of Science, pp. 319-329. Stanford, CA: Stanford University Press.
   Google Scholar
• Gärdenfors. P. and Sahlin, N.-E. (1982) Unreliable probabilities, risk taking, and decision making. Synthese 53. 361-386.
   Google Scholar
• Herstein, I.N. and Milnor, J. (1953) An axiomatic approach to measurable utility. Econometrica 21, 291-297.
   Google Scholar
• Huber, P.J. (1973) The case of Choquet capacities in statistics. Bulletin of the International Statistical Institute 45, 181-188.
   Google Scholar
• Huber, P.J. and Strassen, V. (1973) Minimax tests and the Neyman-Pearsons lemma for capacities, Annals of Statistics 1, 251-263.
   Google Scholar
• ISO (1996) Managing Catastrophe Risk. ISO Insurance Issues Series 1996. Insurance Services Office. Inc.
   Google Scholar
• Jeffrey, R. (1983) The Logic of Decision. Chicago: University of Chicago Press.
   Google Scholar
• Kahneman, D. and Lovallo, D. (1993) Timid choices and bold forecasts: a cognitive perspective on risk taking. Management Science 39, 17-31.
   Google Scholar
• Kunreuther, H., Ginsberg, R., Miller, L., Slovic, P., Borkan, B. and Katz, N. (1978) Disaster Insurance Protection: Public Policy Lessons. Chichester: Wiley.
   Google Scholar
• Kyburg, H.E. (1961) Probability and the Logic of Rational Belief, Middletown, CT: Wesleyan University Press.
   Google Scholar
• Lehmann, E.L. (1959) Testing Statistical Hypothesis, Chichester: Wiley.
   Google Scholar
• Levi, I. (1974) On indeterminate probabilities. Journal of Philosophy 71, 391-418.
   Google Scholar
• Levi, I. (1992) Feasibility, in C. Bicchieri and M. Delia Chiara (eds). Knowledge, Belief, And Strategic Interaction, pp. 1-20. Cambridge: Cambridge University Press.
   Google Scholar
• Linnerooth-Bayer, J. (1996) Does society mismanage risk?, in R.J. Zeckhauser, R.L. Keeney, andJ.K. Sebenius (eds). Wise Choices: Decisions, Games, and Negotiations, Boston, MA: Harvard Business School Press.
   Google Scholar
• Loomes, G. and Sudgen, R. (1982) Regret theory: an alternative theory of rational choice under uncertainty. The Economic Journal 92, 805-824.
   Google Scholar
• Luce, R. D. and Krantz, D. (1971) Conditional expected utility, Econometrica 39, 253-271.
   Google Scholar
• Malmnäs, P. E. (1990) Axiomatic justification of the utility principle, HSFR 677/87.
   Google Scholar
• Malmnäs, P.E. (1994) Axiomatic justification of the utility principle. Synthese 99, 233-249
   Google Scholar
• Malmnäs, P.E. (1996) Evaluations, preferences, choice rules. Research Report. Department of Philosophy. Stockholm University.
   Google Scholar
• Morgan, M.G. and Henrion, M. (1990) Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis. Cambridge: Cambridge University Press.
   Google Scholar
• Nilsson, N. (1986) Probabilistic logic. Artificial Intelligence 28, 71-87.
   Google Scholar
• Oddie, G. and Milne, P. (1990) Act and value, Theoria. LVII. 42-76.
   Google Scholar
• Quiggin, J. (1982) A theory of anticipated utility, Journal of Economic Behavior and Organization 3, 323-343.
   Google Scholar
• Ramsey, F. P. (1978) Truth and probability, in D.H. Mellor (ed.) Foundations: Essays in Philosophy, Logics, Mathematics and Economics, pp. 58-100. London: Routledge & Kegan Paul.
   Google Scholar
• Rowe, W.D. (1994) Understanding uncertainty. Risk Analysis 14, 743-750.
   Google Scholar
• Russell, S.J. and Norvig, P. (1995) Artificial Intelligence: A Modern Approach. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Savage, L. (1972) The Foundations of Statistics. 2nd edn, London: Dover.
   Google Scholar
• Schoemaker, P. (1982) The expected utility model: its variants, purposes, evidence and limitations, Journal of Economic Literature 20, 529-563.
   Google Scholar
• Shafer, G. (1976) A Mathematical Theory of Evidence.,Princeton, NJ: Princeton University Press.
   Google Scholar
• Shapira, Z. (1995) Risk Taking: A Managerial Perspective, New York: Russel Sage Foundation.
   Google Scholar
• Smith, C.A.B. (1961) Consistency in statistical inference and decision. Journal of the Royal Statistical Society, Series B 23, 1-25.
   Google Scholar
• Stirling, W. (1994) Multi agent coordinated decision-making using epistemic utility theory, in ?. Castelfranchi and C.E. Werner (eds). Artificial Social Systems, Lecture Notes in AI 830. pp. 164-183. New York: Springer-Verlag.
   Google Scholar
• Suppes, P. (1956) The role of subjective probability and utility maximization. Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability 1954-55. pp. 113-134.
   Google Scholar
• von Neumann, J. and Morgenstern, O. (1947) Theory of Games and Economic Behavior. 2nd edn. Princeton, NJ: Princeton University Press.
   Google Scholar
• Wynne, B. (1992) Uncertainty and environmental learning: reconceiving science and policy in the preventative paradigm. Global Environmental Change 2, 11-127.
   Google Scholar