Abstract
We study a bin packing game in which any item to be packed is handled by a selfish agent. Each agent aims at minimizing his sharing cost with the other items staying in the same bin, where the social cost is the number of bins used. We first show that computing a pure Nash equilibrium can be done in polynomial time. We then prove that the price of anarchy for the game is in between 1.6416 and 1.6575, improving the previous bounds.
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Yu, G., Zhang, G. (2008). Bin Packing of Selfish Items. In: Papadimitriou, C., Zhang, S. (eds) Internet and Network Economics. WINE 2008. Lecture Notes in Computer Science, vol 5385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92185-1_50
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DOI: https://doi.org/10.1007/978-3-540-92185-1_50
Publisher Name: Springer, Berlin, Heidelberg
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