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The sequential alternative search as a continuous Markov random walk

  • Stochastic Systems, Queueing Systems
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Abstract

The course of the process is analyzed for the choice by an individual of alternatives from a few alternatives, among which he has paired preferences, possibly intransitive and probabilistic. It is supposed that the individual carries out the choice with the aid of the process of the sequential exhaustive search of alternatives, on which a number of conditions (axioms) are imposed. It is shown that in this case the process is modeled by the continuous Markov random walk in the set of alternatives; the intensities of transitions are equal to the comparative utility function; the choice result will be probabilistic and will correspond to the established probability distribution in the random walk. It is shown that the choice result will be the Nash equilibrium in the game, which is set up on the paired preferences of the individual.

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References

  1. Montgomery, H. and Svenson, O., A Think-Aloud Study of Dominance Structuring in Decision Processes, in Process and Structure on Human Decision Making, Chichester: Wiley, 1989.

    Google Scholar 

  2. Weibull, J.W., What Have we Learned from Evolutionary Game Theory so far?, Res. Inst. Ind. Econ., 2002, Working Paper, no. 487.

  3. Fishburn, P.C., Nontransitive Measurable Utility, J. Math. Psychology, 1982, no. 26, pp. 3l–67.

  4. Kiruta, A.Ya., Rubinov, A.M., and Yanovskaya, E.B., Optimal’nyi vybor raspredelenii v slozhnykh sotsial’no-ekonomicheskikh zadachakh (Optimal Choice of Distributions in Complex Social-Economic Problems), Leningrad: Nauka, 1980.

    Google Scholar 

  5. von Neumann, J. and Morgenstern, O., Theory of Games and Economic Behavior, Princeton: Princeton Univ. Press, 1944.

    MATH  Google Scholar 

  6. Aleskerov, F. and Monjardet, B., Utility Maximization, Choice and Preference, Berlin: Springer-Verlag, 2002.

    MATH  Google Scholar 

  7. Nakamura, Y., SSB Preferences: Nonseparable Utilities or Nonseparable Beliefs, Math. Preference. Choice and Order, 2009, no. 1, part 1, pp. 39–55.

  8. Fishburn, P.C., Dominance in SSB Utility Theory, J. Econ. Theory, 1984, no. 34, pp. 130–148.

  9. Miller, B.M. and Pankov, A.R., Teoriya sluchainykh protsessov v primerakh i zadachakh (Theory of Random Processes in Examples and Problems), Moscow: Fizmatlit, 2002.

    Google Scholar 

  10. Sheinin, R.L., Probabilistic Choice between Alternatives, Autom. Remote Control, 1986, vol. 47, no. 6, part 1, pp. 735–751.

    MATH  MathSciNet  Google Scholar 

  11. Aizerman, M.A. and Aleskerov, F.T., Vybor variantov: osnovy teorii (Choice of Variants: Theory Bases), Moscow: Nauka, 1990.

    Google Scholar 

  12. Aleskerov, F.T., Khabina, E.L., and Schwartz, D.A., Binarnye otnosheniya, grafy i kollektivnye resheniya (Binary Relations, Graphs, and Collective Solutions), Moscow: Vysshaya Shkola Ekonomiki, 2005.

    Google Scholar 

  13. Saaty, Th. L., The Analytic Hierarchy Process, Pittsburgh: Univ. of Pittsburgh, 1988. Translated under the title Prinyatie reshenii. Metod analiza ierarkhii, Moscow: Radio i Sviaz’, 1993.

    Google Scholar 

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Original Russian Text © I.A. Zutler, 2011, published in Avtomatika i Telemekhanika, 2011, No. 12, pp. 60–74.

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Zutler, I.A. The sequential alternative search as a continuous Markov random walk. Autom Remote Control 72, 2477–2491 (2011). https://doi.org/10.1134/S0005117911120046

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