Download e-book for iPad: Algorithmic Game Theory: 8th International Symposium, SAGT by Martin Hoefer

By Martin Hoefer

This publication constitutes the refereed court cases of the eighth overseas Symposium on Algorithmic online game thought, SAGT 2015, held in Saarbrücken, Germany, in September 2015.

The 22 complete papers offered including one prolonged summary and six short bulletins have been rigorously reviewed and chosen from sixty three submissions. They conceal a variety of vital elements of algorithmic online game thought, similar to matching less than personal tastes; expense sharing; mechanism layout and social selection; auctions; networking; routing and equity; and equilibrium computation.

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Extra resources for Algorithmic Game Theory: 8th International Symposium, SAGT 2015, Saarbrücken, Germany, September 28–30, 2015, Proceedings

Example text

Remark 2. min bp sr forbidden is solvable in polynomial time if |P | is a constant. min bp sr restricted is solvable in polynomial time if the minimal number of edges blocking an optimal solution is a constant. 4 Stable Matchings with the Minimum Number of Violated Constraints on Restricted Edges In this section, we study the second intuitive approximation concept. The sought matching is stable and violates as few constraints on restricted edges aspossible. F. Manlove A. We return to our example that already appeared in Fig.

For economic efficiency we prove that the VCG mechanism can be implemented efficiently, whereas for budget balance, we utilize and adapt ideas from the Moulin-Shenker mechanisms [10,11]. For the second scenario, we also propose a natural hybrid mechanism that improves efficiency under budget balance by relaxing strategyproofness. Despite the loss of strategyproofness, our hybrid mechanism has its own merits. It is simple to implement, and is based on a very natural approach for increasing the social welfare.

A powerful tool used in several proofs in our paper is to convert some of these problems into a weighted sm or sr problem, where the goal is to find a stable matching with the highest edge weight, taken over all stable matchings. Stable Marriage and Roommates Problems with Restricted Edges 21 Irving et al. [15] were the first to show that the weighted sm can be solved in O(n4 log n) time (where n is the number of vertices) if the weight function is monotone in the preference ordering, non-negative and integral.

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