Download e-book for iPad: Algorithms, Probability, Networks, and Games: Scientific by Christos Zaroliagis, Grammati Pantziou, Spyros Kontogiannis


By Christos Zaroliagis, Grammati Pantziou, Spyros Kontogiannis

ISBN-10: 3319240234

ISBN-13: 9783319240237

ISBN-10: 3319240242

ISBN-13: 9783319240244

This Festschrift quantity is released in honor of Professor Paul G. Spirakis at the celebration of his 60th birthday. It celebrates his major contributions to laptop technological know-how as an eminent, gifted, and influential researcher and so much visionary inspiration chief, with an outstanding expertise in inspiring and guiding younger researchers.

The booklet is a mirrored image of his major examine actions within the fields of algorithms, likelihood, networks, and video games, and features a biographical comic strip in addition to essays and study contributions from shut collaborators and previous PhD students.

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Extra resources for Algorithms, Probability, Networks, and Games: Scientific Papers and Essays Dedicated to Paul G. Spirakis on the Occasion of His 60th Birthday

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411(26–28), 2459–2466 (2010) 3. : Rationality authority for provable rational behavior. In: PODC 2011, pp. 289–290 (2011) 4. : Rationality for Mortals, How people cope with uncertainty. Oxford University Press, New York (2008) 5. : The Virtue of Selfishness, New American Library (1964) 6. : Practical reason. In: Millgram, E. ) Varieties of Practical Reasoning. MIT Press, Cambridge (2001) On Neural Networks and Paul Spirakis Christos H. edu “We are our connectome,” this is the tautology du jour.

63(1), 58–74 (2003) 12. : Settling the complexity of computing two-player Nash equilibria. J. ACM 56, 3, Art. No. 14 (2009) 13. : On the performance of approximate equilibria in congestion games. Algorithmica 61(1), 116–140 (2011) 14. : On convergence and threshold properties of discrete Lotka-Volterra population protocols. , Speckmann, B. ) ICALP 2015. LNCS, vol. 9134, pp. 393–405. Springer, Heidelberg (2015) 15. : The complexity of computing a Nash equilibrium. SIAM J. Comput. 39(1), 195–259 (2009).

EqStrat(n, Si, Sim ), where {Si j} j≤m are possible strategies 32 34 allNash; ∀Si : isNash(n, u, Si, T Si) → eqStrat(n, Si, NSi1 ) ∨ eqStrat(n, Si, NSi2 ) ∨ . . eqStrat(n, Si, NSim ), where {NSi j } j≤m are Nash equilibrium 36 NashMax;∀Si : isNash(n, u, Si, T Si) → leStrat(n, u, Si, NSi) ∨ noComp(n, u, Si, NSi) Fig. 2. Definition of the game model and its equilibria. These definitions are used for verifying Pure Nash equilibria. , (a−i , ai ), as well as the profile of action sets, A−i . We say that the strategy profile s ∈ A is greater than s ∈ A if ∀i ∈ N : ui (s) ≥ ui (s ).

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Algorithms, Probability, Networks, and Games: Scientific Papers and Essays Dedicated to Paul G. Spirakis on the Occasion of His 60th Birthday by Christos Zaroliagis, Grammati Pantziou, Spyros Kontogiannis

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