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//(Ph.D. in Computer Science, University of Milan, 2021)// | //(Ph.D. in Computer Science, University of Milan, 2021)// | ||
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This course provides an introduction to multiagent systems by concentrating on modeling agents interactions by means of competitive games. The main objectives of this course are: conveying basic notions of game theoretical models, discussing in detail some of the algorithms for their resolution, and presenting some recent real-world applications. The course has 20 hours of class lectures and is worth 3 credits (CFU). | This course provides an introduction to multiagent systems by concentrating on modeling agents interactions by means of competitive games. The main objectives of this course are: conveying basic notions of game theoretical models, discussing in detail some of the algorithms for their resolution, and presenting some recent real-world applications. The course has 20 hours of class lectures and is worth 3 credits (CFU). | ||
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* June 29, 2021, 14:00-17:00 (3 hours) | * June 29, 2021, 14:00-17:00 (3 hours) | ||
* July 2, 2021, 14:00-17:00 (3 hours) | * July 2, 2021, 14:00-17:00 (3 hours) | ||
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+ | === Lectures === | ||
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+ | === References === | ||
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+ | * Shoham, Yoav, and Kevin Leyton-Brown. Multiagent systems: Algorithmic, | ||
+ | * Leyton-Brown, | ||
+ | * Adler, Ilan, Constantinos Daskalakis, and Christos H. Papadimitriou. "A note on strictly competitive games." | ||
+ | * Porter, Ryan, Eugene Nudelman, and Yoav Shoham. " | ||
+ | * Daskalakis, Constantinos, | ||
+ | * Sandholm, Tuomas, Andrew Gilpin, and Vincent Conitzer. " | ||
+ | * Papadimitriou, | ||
+ | * von Stengel, Bernhard, and Daphne Koller. " | ||
+ | * Blum, Avrim, et al. " | ||
+ | * Vazirani, Vijay V. Approximation algorithms. Springer Science & Business Media, 2013. | ||
=== Assignment === | === Assignment === |