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Economic Games as Estimators

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  • Zargham, Michael
  • Paruch, Krzysztof
  • Shorish, Jamsheed

Abstract

Discrete event games are discrete time dynamical systems whose state transitions are discrete events caused by actions taken by agents within the game. The agents’ objectives and associated decision rules need not be known to the game designer in order to impose struc- ture on a game’s reachable states. Mechanism design for discrete event games is accomplished by declaring desirable invariant properties and restricting the state transition functions to conserve these properties at every point in time for all admissible actions and for all agents, using techniques familiar from state-feedback control theory. Building upon these connections to control theory, a framework is developed to equip these games with estimation properties of signals which are private to the agents playing the game. Token bonding curves are presented as discrete event games and numerical experiments are used to investigate their signal processing properties with a focus on input-output response dynamics.

Suggested Citation

  • Zargham, Michael & Paruch, Krzysztof & Shorish, Jamsheed, 2020. "Economic Games as Estimators," Working Paper Series/Institute for Cryptoeconomics/Interdisciplinary Research 7433, WU Vienna University of Economics and Business.
  • Handle: RePEc:wiw:wus051:7433
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    Cited by:

    1. Andrew Clark & Alexander Mihailov & Michael Zargham, 2021. "Complex Systems Modeling of Community Inclusion Currencies," Economics Discussion Papers em-dp2021-06, Department of Economics, University of Reading.

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    Keywords

    Estimation; Dynamic Games; Cryptoeconomic Systems;
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