Game - Theory Lectures

This is where the professor tells you that to play optimally in a game like Rock-Paper-Scissors (or soccer penalty kicks), you have to randomize. You have to calculate the exact probability (p) that makes your opponent indifferent between their options.

You learn about and the "Grim Trigger" strategy. The math shows that if you are going to interact with someone forever (your neighbor, your boss, your spouse), cooperation is actually the rational choice.

It hurts your head. You ask, "Why can't I just pick the best option?" The professor smiles. "Because if you do, your opponent will read your mind and crush you. To win, you must be a statistically perfect slot machine." Game Theory Lectures

Instead, I got a blackboard full of matrices, strange squiggly lines, and a professor muttering about "common knowledge of rationality."

That lecture is a humbling lesson for every control freak in the room. Sometimes, the best strategy is not having a fixed strategy at all. Yes, we have to talk about the classic. But in a good lecture, you move beyond the meme. This is where the professor tells you that

The magic happens during the module. The professor draws a tree diagram. You have two players: an Entrant and a Monopolist. The Entrant decides to "Fight" or "Acquiesce." The Monopolist decides to "Price War" or "Accommodate."

You learn to solve this via Backward Induction . You start at the end of the game and rewind. Suddenly, you realize the Monopolist is bluffing. A price war hurts them more than you. Therefore, the Entrant should always enter. The math shows that if you are going

It is a difficult class. It is a math-heavy class. But if you stick with it through the lecture on Bayesian Games, you will realize you aren't just learning economics. You are learning the operating system of human strategy.