Edited and Enhanced Transcript, MINDS AND MACHINES Video Lecture Series, Symbolic Systems, Program, Stanford University, Autumn 2019
22 Pages Posted: 13 Aug 2020 Last revised: 6 Feb 2022
Date Written: September 27, 2019
This is an edited and enhanced transcript (with notes and references added) from a lecture on "Probability", prepared as background material for the Minds and Machines course (SYMSYS 1/PSYCH 35/LINGUIST 35/PHIL 99) at Stanford University. From a video recorded July 30, 2019, as part of a series of lectures funded by a Vice Provost for Teaching and Learning Innovation and Implementation Grant to the Symbolic Systems Program at Stanford, with post-production work by Eva Wallack. Topics include Basic Probability Theory, Conditional Probability, Independence, Philosophical Foundations, Subjective Probability Elicitation, and Heuristics and Biases in Human Probability Judgment.
Keywords: probability theory, probability judgment, foundations of probability, heuristics and biases
JEL Classification: C11, D03
Suggested Citation: Suggested Citation