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Novelty in complex adaptive systems (CAS) dynamics: a computational theory of actor innovation

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  • Markose, Sheri M.

Abstract

This paper develops the formal foundations for the famous phase transition that physicists call `life at the edge of chaos', the domain on which novelty or innovation emerges. For this the computational approach first introduced to game theory by Kenneth Binmore is used with players modelled as Turing Machines. The 1931 Gödel logic involving the Liar defines the pure logic of opposition. Only agents qua universal Turing Machines that can make self-referential calculation of hostile behavior can bring about adaptive novelty or strategic innovation.

Suggested Citation

  • Markose, Sheri M., 2004. "Novelty in complex adaptive systems (CAS) dynamics: a computational theory of actor innovation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 41-49.
    • Handle: RePEc:eee:phsmap:v:344:y:2004:i:1:p:41-49
    DOI: 10.1016/j.physa.2004.06.085
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    1. Anderlini, Luca & Sabourian, Hamid, 1995. "Cooperation and Effective Computability," Econometrica, Econometric Society, vol. 63(6), pages 1337-1369, November.
    2. Walter Helmut & Kieps Karlheinz & Külp Bernhard & Schwarz Dieter & Neumann Manfred J. M. & Timmermann Vincenz & Recktenwald Horst Claus & Deter Wolfgang & Bleibinhaus Hans & Gollnick Heinz & Bohley Pe, 1970. "Einzelbesprechungen," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 184(1), pages 77-96, January.
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    Cited by:

    1. Sheri Markose & Simone Giansante & Mateusz Gatkowski & Ali Rais Shaghaghi, 2010. "Too Interconnected To Fail: Financial Contagion and Systemic Risk In Network Model of CDS and Other Credit Enhancement Obligations of US Banks," Working Papers 033, COMISEF.
    2. Witt, Ulrich, 2009. "Propositions about novelty," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 311-320, May.

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