GAME THEORY ATLAS / 3.0 / EN
Game Theory Academy
Structured game theory education from foundations to research
Structured learning pathways
01 · Foundations: players, strategies and payoff matrices
Learning outcomes · Worked exercises · Source traceability
02 · Intermediate: best responses, pure and mixed Nash equilibrium
Learning outcomes · Worked exercises · Source traceability
03 · Advanced: Bayesian games, subgame perfection and mechanism design
Mathematical assumptions · Methods · Reproducible solutions
04 · Research: proof methods, algorithms, comparative modelling and open code
Mathematical assumptions · Methods · Reproducible solutions
Each module should specify learning outcomes, assumptions, worked examples and authoritative sources.
Nash equilibrium is not a guarantee of Pareto efficiency; the distinction is a required learning outcome.
Sources / Kaynaklar / Джерела
Stanford Encyclopedia of Philosophy — Game Theory ↗
Anastasia IVANOVA · a.i.anastasiaivanova@gmail.com