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Learning in a Black Box

Authors: Nax, Heinrich H; Burton-Chellew, Maxwell N; West, Stuart A; Young, H Peyton;
Abstract

Abstract This chapter studies strategic behavior when agents have no information about the structure of the underlying game and they cannot observe other agents’ actions or payoffs. Even when players have no such information, there are simple payoff-based learning rules that lead to Nash equilibrium in many types of games, as shown in Chapter 8. A key feature of these trial-and-error rules is that subjects search differently depending on whether their payoffs increase, stay constant, or decrease. This chapter analyzes learning behavior in a laboratory setting and finds strong empirical confirmation for these asymmetric search behaviors in the context of voluntary contribution games. By varying the amount of information, we show that these behaviors are also present even when subjects have full information about the game.

Countries
Italy, Switzerland, France, France, United Kingdom
Keywords

Economics and Econometrics, Organizational Behavior and Human Resource Management, H.H4.H41 - Public Goods, 300 Social sciences, sociology & anthropology, C.C7.C73 - Stochastic and Dynamic Games • Evolutionary Games • Repeated Games, 300 Social sciences, sociology & anthropology, public goods games, 2002 Economics and Econometrics, C.C9.C91 - Laboratory, Individual Behavior, Public goods game, 1407 Organizational Behavior and Human Resource Management, Learning; Information; public goods games, D.D8.D83 - Search • Learning • Information and Knowledge • Communication • Belief • Unawareness, Information; Learning; Public goods game;, Information, C.C7.C70 - General, Learning, Public goods games, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Learning,Information,Public goods games, 10095 Institute of Sociology

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    selected citations
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    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).
    48
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
48
Top 10%
Top 10%
Top 10%
Green
hybrid