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Preferences: Situated Models for Technical Systems

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Abstract

Preferences in terms of binary, weak order relations and preference functions which represent such relations are considered. The set of arguments of preference functions is enlarged by so-called situational variables. These account for different assessments of the same set of alternatives under different external conditions. This has applications both inside and outside economical models. The latter includes consistent decision behaviour of technical, senso-motory systems (“autonomous robots”), as an interesting new application field of preferences and decision theory.

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References

  • DEBREU, G. (1959): Topological methods in cardinal utility theory. In: Arrow, K.J. et al. (eds.), “Mathematical methods in the social sciences”. Stanford University Press, Stanford, p. 16–26.

    Google Scholar 

  • FARQUHAR, P.H. (1977): A survey of multiattribute utility theory and applications. TIMS Studies in Management Science 6, p. 59–89.

    Google Scholar 

  • KÄMPKE, T. (1998): Functional arbitration for multi purpose senso-motory systems. Journal of Robotic and Autonomous Systems, to appear.

    Google Scholar 

  • KÄMPKE, T., RADERMACHER, F.J. (1993): Robust assessment of preference functions. In: Diewert, W.E. et al. (eds.), “Mathematical Modeling in Economics”. Springer, Berlin, p. 232–242.

    Chapter  Google Scholar 

  • KEENEY, R.L., RAIFFA, H. (1976): Decisions with multiple objectives. Wiley, New York.

    Google Scholar 

  • LAWLER, E.L., LENSTRA, J.K., RINNOOY KAN, A.H.G., SHMOYS, D.B. (1985): The traveling salesman problem. Wiley, New York.

    Google Scholar 

  • MAES, P. (1990): Situated agents can have goals. Robotics and Autonomous Systems 6, p. 49–70.

    Article  Google Scholar 

  • PINEDO, M. (1995): Scheduling. Prentice Hall, Englewood Cliffs.

    Google Scholar 

  • ROSENMÜLLER, J. (1997): Bargaining with incomplete information–an axiomatic approach. Theory and Decision 42, p. 105–146.

    Article  Google Scholar 

  • SAFFIOTI, A. (1993): Some notes on the integration of planning and reactivity in autonomous mobile robots. Proceedings of the AAAI Spring Symposium on Foundations of Automatic Planning, Stanford, p. 122–126.

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Kämpke, T., Radermacher, F.J. (1999). Preferences: Situated Models for Technical Systems. In: Gaul, W., Schader, M. (eds) Mathematische Methoden der Wirtschaftswissenschaften. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-12433-8_39

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  • DOI: https://doi.org/10.1007/978-3-662-12433-8_39

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-12434-5

  • Online ISBN: 978-3-662-12433-8

  • eBook Packages: Springer Book Archive

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