By Bruno Codenotti (auth.), Giuseppe Persiano (eds.)

ISBN-10: 3642248284

ISBN-13: 9783642248283

ISBN-10: 3642248292

ISBN-13: 9783642248290

This ebook constitutes the refereed court cases of the Fourth foreign Symposium on Algorithmic video game concept, SAGT 2011, held in Amalfi, Italy, in October 2011. The 26 revised complete papers offered including 2 invited lectures have been rigorously reviewed and chosen from sixty five submissions. The papers are prepared in topical sections on auctions and ads, caliber of recommendations, externalities, mechanism layout, complexity, community video games, pricing, in addition to routing games.

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Extra resources for Algorithmic Game Theory: 4th International Symposium, SAGT 2011, Amalfi, Italy, October 17-19, 2011. Proceedings

Example text

If originally c is assigned to the bin b and competes with p then there can be 2 possibilities (notice that in original case p wins, which means that c is rejected when arrived): • Ad c is assigned to bin b again; then it will be rejected again. • Ad c is assigned now to some other bin h: that means that s Dbsc ≤ Dhsc ≤ D bc . We know that originally c was rejected, which means dc ≤ Dbsc , then dc ≤ Dhsc thus c is rejected from bin h as in the original case. This flow works for all ads that arrive after p, and then p is still published with the increased value.

Has a simple form. 2 However, the above equation gives a straightforward way to compute Wj ’s numerically: start with a large enough j ∗ so that Wj ∗ = 0, and then move backward to compute Wj for j = j ∗ − 1, . . , 1. Such a value of j ∗ exists in most realistic scenarios; for example, any j ∗ such that for all j > j ∗ , λj v is less than the minimum of R (say, the value of the reserve price) suffices. To summarize, Theorem 1. Let Wj ’s be the values computed using (4). Then the optimal allocation can be obtained by submitting a per-impression bid of bidj := λj v + (1 − λj )Wj+1 − Wj on behalf of A in a state where the user has already seen the ad j − 1 times.

WINE 2009. LNCS, vol. 5929, pp. 1–12. Springer, Heidelberg (2009) 20. : Google’s auction for TV ads. , Sanders, P. ) ESA 2009. LNCS, vol. 5757, pp. 553–553. Springer, Heidelberg (2009) 21. : Algorithmic Game Theory, Cambridge (2007) 22. : Competitive routing in multiuser communication networks. IEEE/ACM Trans. Netw. 1(5), 510–521 (1993) 23. : Position auctions. com Abstract. Consider video ad placement into commercial breaks in a television channel. The ads arrive online over time and each has an expiration date.

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Algorithmic Game Theory: 4th International Symposium, SAGT 2011, Amalfi, Italy, October 17-19, 2011. Proceedings by Bruno Codenotti (auth.), Giuseppe Persiano (eds.)

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