Introduction to Game Theory (edited)

This lecture (from May 1 2013, second hour) introduces several interpretations of probability....the language of uncertainty in game theory. We develop the idea of probability as measuring personal beliefs about uncertain events, then show how to "operationalize" - ie measure - those beliefs using simple betting situations. The idea is that a belief should be more than just a report - but a willingness to back up your report by making small scale bets on the events that are uncertain.

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Introduction to Game Theory (edited)

John Fountain PRO

Edited videos - screen capture with coordinated audio, not "real" film video - from my undergrad course Econ 223 Introductory Game Theory at the University of Canterbury in 2011. It's basically multi disciplinary accessible to all arts commerce science…


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Edited videos - screen capture with coordinated audio, not "real" film video - from my undergrad course Econ 223 Introductory Game Theory at the University of Canterbury in 2011. It's basically multi disciplinary accessible to all arts commerce science types - econ, history, psych, poli sci, sociology, management, engineering, law, philosophy, physics. No econ prereqs needed. No math . I'm basically trying to create an open source, globally accessible virtual course" that introduces intelligent people to game theory. Unlike most other online uni courses I try to edit out the basically useless - or mistaken! - stuff in lectures!
We had a major earthquake one minute after lecture 3 - unfortunately i didn't have my microphone going for that one!! - which interrupted the course, but this is a pretty good set of 33 (eventually) lectures.

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