PPT-Extensive-Form Game Abstraction

with Bounds Outline Motivation Abstractions of extensiveform games Theoretical guarantees on abstraction quality Computing abstractions Hardness Algorithms Experiments Nash equilibrium. of Synchronization. Greta . Yorsh. Eran. . Yahav. Martin . Vechev. IBM Research. { . . ………………. . …… . ………………….. . …………………….. …………………………. Retrieval. Motivation. Experiments. Overall Framework. Multi-Abstraction Concern Localization. Tien-Duy B. Le, Shaowei Wang, and David Lo. {btdle.2012, shaoweiwang.2010,davidlo}@smu.edu.sg. Abstraction. Richard Gesick. Abstraction. the mechanism and practice of . abstraction. reduces and factors out details so that one can focus on a few concepts at a time. The concept . originated by analogy with abstraction in . Techniques. – A . Practical Application Perspective. March . 2014. Presentation summary on the work in. Neumayr. , B., . Schrefl. , M., & . Thalheim. , B. (2011). . Modeling. techniques for multi-level abstraction. . Sequential Incomplete-Information Games. Tuomas Sandholm. Professor. Carnegie Mellon University. Computer Science Department. Most real-world games are incomplete-information games with sequential (& simultaneous) moves. Tushar Sharma. and Thomas Reps. SAS’17. Motivations. Prove Program Assertions. Function and loop summaries. Sound with respect to . bitvectors. A New Abstraction Framework for Affine Transformers. T. Sharma and T. Reps. SAS'17. Edward J. Schwartz. Software Engineering Institute. Carnegie Mellon University. 12/9/2014. PPREW: Abstraction Recovery. 1. The Gap Between . Binary and Source Code. push. . %. ebp. mov. . %. esp. Kenny Denmark. Jason Isenhower. Ross Roessler. Background. A* uses heuristics for efficient searching. Initially, heuristics provided by "expert". Challenge is to have program create heuristics. in the placeholder to insert your own image.. NOTE:. To change images on this slide, select a picture and delete it. Then click the Insert Picture icon. in the placeholder to insert your own image.. Abstraction . Way of classifying information from abstract (general) to concrete (specific) . . Level 4:. Abstractions. Level 3: . Noun Classes, broad group names with little specification. Level 2:. Noun Categories, more definite groups. Tien-Duy. B. Le, . Shaowei. Wang, and David Lo. School of Information Systems. Singapore Management University. 1. Motivation. Concern Localization. Locating code units that match a text descriptions. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp. Autores:. Carlos Gustavo Leite Vieira. Nádia . Carolina Lima e . Lima. Vinicius . Carriero. Lima. Purpose. To. . present. a case . of. laser . treatment. in . Coats. . disease. in a . female.