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Discovery and Equilibrium in Games with Unawareness

Discovery and equilibrium in games with unawareness
Authors: Schipper, Burkhard C;

Discovery and Equilibrium in Games with Unawareness

Abstract

Equilibrium notions for games with unawareness in the literature cannot be interpreted as steady-states of a learning process because players may discover novel actions during play. In this sense, many games with unawareness are "self-destroying" as a player's representation of the game may change after playing it once. We define discovery processes where at each state there is an extensive-form game with unawareness that together with the players' play determines the transition to possibly another extensive-form game with unawareness in which players are now aware of actions that they have discovered. A discovery process is rationalizable if players play extensive-form rationalizable strategies in each game with unawareness. We show that for any game with unawareness there is a rationalizable discovery process that leads to a self-confirming game that possesses a self-confirming equilibrium in extensive-form rationalizable conjectures. This notion of equilibrium can be interpreted as steady-state of both a discovery and learning process.

arXiv admin note: substantial text overlap with arXiv:1707.08761

Country
Germany
Keywords

FOS: Computer and information sciences, Information and Knowledge, equilibrium, D83 - Search, C72, Computer Science - Computer Science and Game Theory, Learning, Rationality and learning in game theory, C72 - Noncooperative Games, learning, ddc:330, Communication, Unawareness, extensive-form games, extensive-form rationalizability, D83, Belief, Games in extensive form, self-confirming equilibrium, conjectural equilibrium, Self-confirming equilibrium, discovery, unawareness, Computer Science and Game Theory (cs.GT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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