Reciprocation Effort Games

Conference Paper (2018)
Author(s)

G. Polevoy (TU Delft - Algorithmics, Vrije Universiteit Amsterdam)

MM Weerdt (TU Delft - Algorithmics)

Research Group
Algorithmics
Copyright
© 2018 G. Polevoy, M.M. de Weerdt
DOI related publication
https://doi.org/10.1007/978-3-319-76892-2_4
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 G. Polevoy, M.M. de Weerdt
Research Group
Algorithmics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
46-60
ISBN (print)
978-3-319-76891-5
ISBN (electronic)
978-3-319-76892-2
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Consider people dividing their time and effort between friends, interest clubs, and reading seminars. These are all reciprocal interactions, and the reciprocal processes determine the utilities of the agents from these interactions. To advise on efficient effort division, we determine the existence and efficiency of the Nash equilibria of the game of allocating effort to such projects. When no minimum effort is required to receive reciprocation, an equilibrium always exists, and if acting is either easy to everyone, or hard to everyone, then every equilibrium is socially optimal. If a minimal effort is needed to participate, we prove that not contributing at all is an equilibrium, and for two agents, also a socially optimal equilibrium can be found. Next, we extend the model, assuming that the need to react requires more than the agents can contribute to acting, rendering the reciprocation imperfect. We prove that even then, each interaction converges and the corresponding game has an equilibrium.

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