Game Theory 101 (#63): Incomplete Information

This lecture begins a unit on incomplete information game theory, allowing us to eventually work toward the Bayesian Nash equilibrium and perfect Bayesian equilibrium solution concepts. In incomplete information games, a player does not know another's payoffs. This type of uncertainty forces players to learn as they play the game, creating far richer strategic environments than we have seen before.

[PunmasterSTP]

Incomplete? More like “Wow, these are neat!” I can’t believe it took me so long to find your channel, but now I’m so glad that I did.

[helen]

the overview about the four cases at the end is great, thanks a lot!!

[annaepishova]

Thank you so much for this course. I love your lectures!

[dominiclebron]

keywords: imperfection information, incomplete information, types of actors, bayesian nash equilibrium.
We need to develop strategies for the different types of 'actos' we come across.
Also, the sickass chart displayed at 6:15 what concept to use based on: Timing & Payoffs.

[licusatilicusati]

So, if we take the indefinitely repeated Prisoner's Dilemma, can be considered a game with perfect and completed information?

[Ahmed-jluh]

What's a short definition for imperfect information?

[itsjakfor]

tensors curves isoquants indifference curve inverse parabolic functions hyperbola ARE THE SAME THING IN DIFFERENT FORMATS !

[jimihendrixx]

In a prisoner’s dilemma with incomplete information is positive tit for tat still the most successful strategy?