Economic Games as Estimators

Zargham, Michael ORCID: and Paruch, Krzysztof ORCID: and Shorish, Jamsheed ORCID: (2020) Economic Games as Estimators. Working Paper Series / Institute for Cryptoeconomics / Interdisciplinary Research. WU Vienna University of Economics and Business, Vienna.


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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.

Item Type: Paper
Keywords: Estimation, Dynamic Games, Cryptoeconomic Systems
Divisions: Forschungsinstitute > Kryptoökonomie
Depositing User: Jamsheed Shorish
Date Deposited: 20 Jan 2020 07:37
Last Modified: 31 Jan 2020 10:02


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