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Polibits

versión On-line ISSN 1870-9044

Polibits  no.48 México jul./dic. 2013

 

Uncertainty Levels of Second-Order Probability

 

David Sundgren1 and Alexander Karlsson2

 

1 Department of Computer and Systems Sciences, Stockholm University, Sweden (e-mail: dsn@dsv.su.se).

2 Informatics Research Center, University of Skovde, Sweden (e-mail: alexander.karlsson@his.se).

 

Manuscript received on June 27, 2013.
Accepted for publication on September 30, 2013.

 

Abstract

Since second-order probability distributions assign probabilities to probabilities there is uncertainty on two levels. Although different types of uncertainty have been distinguished before and corresponding measures suggested, the distinction made here between first- and second-order levels of uncertainty has not been considered before. In this paper previously existing measures are considered from the perspective of first- and second-order uncertainty and new measures are introduced. We conclude that the concepts of uncertainty and informativeness needs to be qualified if used in a second-order probability context and suggest that from a certain point of view information can not be minimized, just shifted from one level to another.

Key words: Uncertainty, entropy, second-order probability.

 

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References

[1] R. F. Nau, "Uncertainty aversion with second-order utilities and probabilities," Management Science, vol. 52, no. 1, pp. 136-145, 2006.         [ Links ]

[2] L. V. Utkin and T. Augustin, "Decision making with imprecise second-order probabilities," in ISIPTA '03 - Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications, 2003, pp. 547-561.         [ Links ]

[3] L. Ekenberg and J. Thorbiórnson, "Second-order decision analysis," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 9, No 1, vol. 9, no. 1, pp. 13-38, 2001.         [ Links ]

[4] P. Gardenfors and N.-E. Sahlin, "Decision, probability and utility: Selected readings." in Decision, Probability and Utility: Selected Readings. Cambridge University Press, 1988, ch. 16, Unreliable probabilities, risk taking, and decision making, pp. 313-334.         [ Links ]

[5] G. D. Cooman and P. Walley, "A possibilistic hierarchical model for behaviour under uncertainty," Theory and Decision 52 (4), pp. 327-374, 2002.         [ Links ]

[6] L. A. Zadeh, "Fuzzy probabilities," Information Processing and Management, 20, pp. 363-372, 1984.         [ Links ]

[7] P. Smets, "Varieties of ignorance and the need for well-founded theories," Inf Sci., pp. 135-144, 1991.         [ Links ]

[8] E. T. Jaynes, "Monkeys, kangaroos, and n," Maximum Entropy and Bayesian methods in Applied Statistics: proceedings of the 4th Maximum Entropy Workshop, pp. 26-58, 1984.         [ Links ]

[9] G. Shafer, A Mathematical theory of evidence. Princeton University Press, 1976.         [ Links ]

[10] G. J. Klir, "A principle of uncertainty and information invariance," International Journal Of General System, vol. 17, no. 2-3, pp. 249-275, 1990.         [ Links ]

[11] R. R. Yager, "Entropy and specificity in a mathematical theory of evidence," International Journal of General System, vol. 9, no. 4, pp. 249-260, 1983.         [ Links ]

[12] G. J. Klir and R. M. Smith, "Recent developments in generalized information theory," International journal of fuzzy systems, vol. 1, no. 1, pp. 1-13, 1999.         [ Links ]

[13] A.-L. Jousselme, C. Liu, D. Grenier, and E. Bosse, "Measuring ambiguity in the evidence theory," Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 36, no. 5, pp. 890-903, 2006.         [ Links ]

[14] M. Smithson, "Freedom: A measure of second-order uncertainty for intervalic probability schemes," in Proceedings of the Fifth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-89). Corvallis, Oregon: AUAI Press, 1989, pp. 327-334.         [ Links ]

[15] P. Gardenfors and N.-E. Sahlin, "Unreliable probabilities, risk taking, and decision making," Synthese, vol. 53, no. 3, pp. 361-386, 1982. [Online]. Available: http://dx.doi.org/10.1007/BF00486156        [ Links ]

[16] J. C. Mork, "Uncertainty, credal sets and second order probability," Synthese, 2011, qP 20120202.         [ Links ]

[17] A. Bronevich and A. Lepskiy, "Measuring uncertainty with imprecision indices," in ISIPTA '07 - Proceedings of the Fifth International Symposium on Imprecise Probabilities and Their Applications, 2007, pp. 47-56.         [ Links ]

[18] S. Kullback and R. Leibler, "On information and sufficiency," Annals of Mathematical Statistics, vol. 22, no. 1, pp. 79-86, 1951.         [ Links ]

[19] A. Karlsson, R. Johansson, and S. F. Andler, "Characterization and empirical evaluation of bayesian and credal combination operators," Journal of Advances in Information Fusion, vol. 6, pp. 150-166, 2011.         [ Links ]

[20] G. Pólya, "Sur quelques points de la théorie des probabilités," Ann. Inst. Poincaré, vol. 1, pp. 117-161, 1931.         [ Links ]

[21] D. Harmanec and G. J. Klir, "Measuring total uncertainty in dempster-shafer theory: A novel approach," International Journal of General Systems, vol. 22, no. 4, pp. 405-419, 1994.         [ Links ]

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