Open this lesson in your favourite AI. It'll walk you through the why, explain the demo, and quiz you on the try-it list.
A payoff matrix is a boring-looking object until you realise it's how every strategic situation gets compared apples-to-apples. 'Best response' is the first real piece of machinery you'll use on one: given what everyone else is doing, which of my moves is best? Everything downstream — Nash equilibrium, iterated elimination, backward induction — is best response reasoning applied in different settings.
For a two-player game, Row's best response to Column's strategy is the set of rows that maximize Row's payoff given :
Use these three in order. Each builds on the one before.
In plain terms, explain what a 'best response' means in a two-player game. Why is it a set rather than a single move?
Walk me through how to compute the best-response correspondence for a 2x2 game, step by step, with a numerical example of your choice.
If a player's best response is the same regardless of what the opponent does, what have we proven? When would best-response reasoning fail to pick out a unique outcome, and why is that the more common case?