A tool for handling uncertain information in multi-agent systems

  • Love Ekenberg
  • Mats Danielson
  • Magnus Boman
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1069)


We focus on the strategy problem arising as a manager faces situations involving a choice between a finite set of strategies, having access to a finite set of agents reporting their opinions. The most preferred strategy is determined from the agents' individual opinions and the relative credibility of each agent. The evaluation method used is primarily based on the principle of maximising the expected utility. The evaluation results in a set of admissible strategies. These strategies can be further investigated with respect to their relative strengths and also with respect to the number of values consistent with the given domain that make them admissible.


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  1. Bachman, M., and Hurley, S. (eds.): 1991, Essays in the Foundations of Rational Decision, Blackwells.Google Scholar
  2. Boman, M.: 1993, A Logical Specification of Federated Information Systems, DSV Report 93-019-DSV, Ph.D. thesis, Department of Computer and Systems Sciences, Stockholm University.Google Scholar
  3. Boman, M., and Ekenberg, L.: 1994, “Eliminating Paraconsistencies in 4-valued Cooperative Deductive Multidatabase Systems with Classical Negation”, Proceedings of Cooperating Knowledge Based Systems 1994, Keele University Press, pp. 161–176.Google Scholar
  4. Choquet, G.: 1953/54, “Theory of Capacities”, Ann. Inst. Fourier 5, pp. 131–295.Google Scholar
  5. Danielson, M.: 1995, Computing Best Choices Using Imprecise Information, Report 95-012-DSV, Ph.Lic. thesis, Department of Computer and Systems Sciences, Royal Institute of Technology, Stockholm.Google Scholar
  6. Dempster, A.P.: 1967, “Upper and Lower Probabilities Induced by a Multivalued Mapping”, Annals of Mathematical Statistics, Xxxviii, pp.325–339.Google Scholar
  7. Ekenberg, L.: 1994a, Decision Support in Numerically Imprecise Domains, Ph.D. thesis, Report 94-003-DSV, Department of Computer and Systems Sciences, Stockholm University.Google Scholar
  8. Ekenberg, L., and Malmnäs P-E.: 1994b, “Generalized Procedures for Handling Security Levels in Decision Situations”, Research Report, Department of Computer and Systems Sciences, Stockholm University.Google Scholar
  9. Good, I. J.: 1962, “Subjective Probability as the Measure of a Non-measurable Set”, Logic, Methodology, and the Philosophy of Science, eds. Suppes, Nagel, Tarski, Stanford University Press, pp.319–329.Google Scholar
  10. Hurwicz, L.: 1951, “Optimality Criteria for Decision Making under Ignorance”, Cowles Commission Discussion Paper No. 370.Google Scholar
  11. Lehmann, E.L.: 1959, Testing Statistical Hypothesis, John Wiley and Sons.Google Scholar
  12. Malmnäs, P-E.: 1990, Real-Life Decisions, Expected Utility and Effective Computability, Research Report HSFR No. 677/87.Google Scholar
  13. Malmnäs, P-E.: 1994, “Towards a Mechanization of Real Life Decisions”, Logic and Philosophy of Science in Uppsala, eds. Prawitz and Westerståhl, Kluwer Academic Publishers, Dortrecht, pp.231–243.Google Scholar
  14. Savage, L.: 1951,“The Theory of Statistical Decision”, Journal of the American Statistical Association 46, pp.55–67.Google Scholar
  15. Smith, C.A.B.: 1961, “Consistency in Statistical Inference and Decision”, Journal of the Royal Statistic Society, Series B, xxiii, pp. 1–25.Google Scholar
  16. Tenney, R., and Sandell jr., N.: 1981, “Strategies for Distributed Decisionmaking”, IEEE Transactions on Systems, Man and Cybernetics 11 (8), pp.527–538.Google Scholar
  17. Wald, A.: 1950, Statistical Decision Functions, John Wiley and Sons.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Love Ekenberg
    • 1
  • Mats Danielson
    • 1
  • Magnus Boman
    • 1
  1. 1.Department of Computer and Systems SciencesRoyal Institute of Technology and Stockholm UniversityKistaSweden

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