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PHIL 321 001 (Web-Oriented Course)

Induction, Decision and Game Theory

Formal methods relevant to probabilistic and inductive reasoning. Decision theory, game theory, axiomatic probability theory and its interpretations, belief dynamics, simulation and modelling.

This course is eligible for Credit/D/Fail grading. To determine whether you can take this course for Credit/D/Fail grading, visit the Credit/D/Fail website. You must register in the course before you can select the Credit/D/Fail grading option.

Credits: 3

Location: Vancouver

Term 1 (Sep 08, 2020 to Dec 03, 2020)

Cr/D/F Grading Change Dates

Last day to change between Credit/D/Fail and percentage grading (grading options cannot be changed after this date): September 21, 2020

Withdrawal Dates
Last day to withdraw without a W standing : September 21, 2020
Last day to withdraw with a W standing
(course cannot be dropped after this date) :
October 30, 2020

TermDay Start TimeEnd TimeBuildingRoom
1 Mon Wed Fri12:0013:00
Instructor: BARTHA, PAUL
Note: this section is full

Seat Summary
Total Seats Remaining:0
Currently Registered:75
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-  There are two well-developed philosophical theories that try to characterize what it means to make choices rationally. One is decision theory, which considers the position of one agent choosing between several alternatives, with varying levels of information about factors that might influence the resulting outcomes. The other is game theory, which provides techniques for analyzing interactions among several rational agents. This course explains the fundamentals of these two theories and relevant background concepts such as probability and utility. We also explore paradoxical situations where the theories appear to clash with ordinary intuitions about rationality. We will consider applications throughout the course, with emphasis on social applications of game theory, and conclude with an&~ introduction to evolutionary game theory and a discussion of Skyrms' book, "Evolution of the Social Contract." Students who take this course should feel comfortable with technical work. Prior completion of PHIL 120, PHIL 125, PHIL 220, or any introductory-level course in mathematics, computer science, or economics is recommended. COVID-19 notice: Lectures will take place live via Collaborate Ultra but will be recorded and posted for students who are unable to attend. Synchronous course components include a midterm test, a final exam, and an optional weekly tutorial.

Book Summary :
Information for the books required for this section is not available.