PPT-The Complexity of Equilibria

in Cost Sharing Games Vasilis Syrgkanis Cornell University 4 10 12 10 7 Motivation 10 10 Motivation 5 2 4 5 2 This Work Can we efficiently compute some Pure Nash Equilibrium of such games. How to celebrate it, leverage it, and NOT avoid it!. Are YOU sufficiently complex?. Simple = Best. FROM OCCAM’S . RAZOR. COMPLEXITY. Are YOU sufficiently complex?. Simple = Best. Simple but no. Simpler. and Hidden Attractors. Clint . Sprott. Department of Physics. University of Wisconsin - Madison. Presented to the. UW Math Club. in Madison, Wisconsin. on February 24, 2014. Multi(in)stability. Types of . Game Theory. Christos Papadimitriou. Econ/TCS Boot Camp. Before 1995…. A few researchers did both:. v. on Neumann N. Megiddo R. E. Stearns. . Btw: . TCS = . Theoretical Computer Science =. Equilibria. : How…. …and What’s the Point?. Yevgeniy Vorobeychik. Sandia National Laboratories. Who am I?. Ph.D. CS, University of Michigan, advised by Michael Wellman. approximating/estimating . (TKK-2246). 14/15 Semester 2. Instructor: Rama . Oktavian. Email: rama.oktavian86@gmail.com. Office Hr.: . M – F.13-15. Outlines. . 1. . Review. . 2. . Liquid-liquid . equilibria. (2-components). and . Hierarchy. Concept of Complexity. “whole is more than the sum of its parts”. Holism. new properties not found in subsystems. “mechanistic explanations of emergence rejected”. Weaker view of emergence. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. How Understanding Complexity Promotes Simplicity. Why is writing software hard?. ^. great. http://www.infoq.com/presentations/Simple-Made-Easy. Our duty as software architects is to understand and manage complexity. Theophilus Benson (tbenson@cs.wisc.edu). Aditya Akella (akella@cs.wisc.edu). David A Maltz (dmaltz@microsoft.com). Enterprise Networks. Intricate logical and physical topologies. Diverse network devices. J. Barkley Rosser, Jr. . Marina V. Rosser. James Madison University. November, 2015. rosserjb@jmu.edu. rossermv@jmu.edu. Abstract. This paper shows which portions of complexity theory are most relevant for studying economic institutional evolution. . Toniann. . Pitassi. University of Toronto. 2-Party Communication Complexity. [Yao]. 2-party communication: . each party has a dataset. . Goal . is to compute a function f(D. A. ,D. B. ). m. 1. m. 2. What is the best way to measure the time complexity of an algorithm?. - Best-case run time?. - Worst-case run time?. - Average run time?. Which should we try to optimize?. Best-Case Measures. How can we modify almost any algorithm to have a good best-case running time?. Lijie. Chen. MIT. Today’s Topic. Background. . What is Fine-Grained Complexity?. The Methodology of Fine-Grained Complexity. Frontier: Fine-Grained Hardness for Approximation Problems. The Connection.