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Evolutionary Microeconomics and the Theory of Expectations

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Abstract

This paper sketches a framework for the analysis of expectations in an evolutionary microeconomics. The core proposition is that expectations form a network structure, and that the geometry of that network will provide a suitable guide as to the dynamical behaviour of that network. It is a development towards a theory of the computational processes that construct the data set of expectations. The role of probability theory is examined in this context. Two key issues will be explored: (1) on the nature and stability of expectations when they form as a complex network; and (2), the way in which this may be modelled within a multi-agent simulation platform. It is argued that multi-agent simulation (a-life) techniques provide an expedient analytical environment to study the dynamic nature of mass expectations, as generated or produced objects, in a way that bridges micro and macroeconomics.

Suggested Citation

  • Dr Jason Potts, 2000. "Evolutionary Microeconomics and the Theory of Expectations," Discussion Papers Series 270, School of Economics, University of Queensland, Australia.
    • Handle: RePEc:qld:uq2004:270
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    File URL: https://espace.library.uq.edu.au/view/UQ:11070/DP270Feb00.pdf
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    Cited by:

    1. Bibiana Lanzilotta Mernies, 2016. "Taxonomia y Dinamica de las Expectativas Economicas de los Empresarios Industriales en Uruguay. Un Analisis de Conglomerados," Revista de Economía del Rosario, Universidad del Rosario, vol. 17(2), pages 229-256, February.
    2. Yoguel, Gabriel & Pereira, Mariano, 2014. "Industrial and technological policy: Contributions from evolutionary perspectives to policy design in developing countries," MPRA Paper 56290, University Library of Munich, Germany.

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