Game Theory and Applications

Course description

We will learn the main game theory concepts and ideas. Consider the classical strategic situation and decision making in a complex situation and how game theory proposes to deal with them. Then we apply ideas to real problems and implement them in algorithms.

Course tools

Python (NashPy, Axelrod)

Prerequisites

  • Python
  • Basic calculus and probability

Level of complexity of course

Basics

Lecturer

Dr. Oleksii Ignatenko

Oleksii Ignatenko is a doctor of physical and mathematical sciences (2019).

He is an associate professor at the Institute of Applied System Analysis of Igor Sikorsky Kyiv Polytechnic Institute (from 2006), Kyiv-Mohyla Academy (from 2019) and Kyiv Academic University (from 2019).

Fields of interests: game theory and applications in computer science, agent-based modeling, reinforcement learning.

Contacts [email protected]