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Inefficiency of Games with Social Context

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Book cover Algorithmic Game Theory (SAGT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8146))

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Abstract

The study of other-regarding player behavior such as altruism and spite in games has recently received quite some attention in the algorithmic game theory literature. Already for very simple models, it has been shown that altruistic behavior can actually be harmful for society in the sense that the price of anarchy may increase as the players become more altruistic. In this paper, we study the severity of this phenomenon for more realistic settings in which there is a complex underlying social structure, causing the players to direct their altruistic and spiteful behavior in a refined player-specific sense (depending, for example, on friendships that exist among the players). Our findings show that the increase in the price of anarchy is modest for congestion games and minsum scheduling games, whereas it is drastic for generalized second price auctions.

This research was partially supported by the EU FET project MULTIPLEX 317532.

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Anagnostopoulos, A., Becchetti, L., de Keijzer, B., Schäfer, G. (2013). Inefficiency of Games with Social Context. In: Vöcking, B. (eds) Algorithmic Game Theory. SAGT 2013. Lecture Notes in Computer Science, vol 8146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41392-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-41392-6_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41391-9

  • Online ISBN: 978-3-642-41392-6

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