Belief, Desire, and Rational Choice (Spring 2020)
This course is an introduction to formal models of belief, desire, and rational choice. It has roughly three parts. The first introduces the core ideas of Bayesian epistemology, where belief is treated as an attitude that comes in degrees. In the second part, we turn to formal models of desire, drawing on utility theory in economics and value theory in philosophy. We will also look at some connections between rational belief and desire. The third part takes a closer look at expected utility theory, which formalises the intuition that rational agents do what they believe will bring them closer to satisfying their desires.
No prior knowledge of the material is expected. Familiarity with basic propositional logic will be helpful.
Classes consist of a one-hour lecture plus a one-hour tutorial.
Dr Wolfgang Schwarz (email@example.com)
Office hour: Thursday 15:00-16:00 and by appointment
My office is room 6.02, Dugald Stewart Building.
Ann-Marie Cowe (firstname.lastname@example.org)
Lecture: Mondays 16:10-17:00, DSB 1.17
Tutorial Group 1: Tuesdays 10:00-10:50, DSB 1.01
Tutorial Group 2: Tuesdays 13:10-14:00, DSB 1.01
The lecture notes for each week contain exercises. You should try to answer all of them and hand in your solutions (on paper, with your student number at the top) at the start of the next lecture. I will mark your submissions for each week on a scale from roughly 30 to 90; the average of your scores will be converted into 50% of your final grade.
The question mark rule: If you write a question mark next to an answer on an exercise sheet (even if the answer is empty), I will give you a 20% higher mark if you're wrong and a 20% lower mark if you're right.
The lecture notes also contain essay questions. At the end of the term, you should choose one of these to write a short essay of 1500 words. Your mark for the essay determines the other 50% of your grade. The essay deadline is 23rd April, 12pm.
Check you marks by entering your student number here (including the 's'):
The marks will be sent to your student email address.
The only compulsory reading are the lecture notes, which you can find here.
Supplementary reading for the whole course:
- Jonathan Weisberg: Odds and Ends (2019)
- Lara Buchak: "Decision Theory" (2016)
- Katie Steele and H. Orri Stefansson: "Decision Theory" (2015)
- Michael Strevens: Notes on Bayesian Confirmation Theory (2017)
The syllabus below contains pointers to further texts that you are encouraged to read. If a text is not freely available online, you can find it in a secret folder. If you've forgotten the address of that folder, send me an email.
Week 1: Overview
How beliefs and desires are related to choice; why beliefs and desires are graded; the difference between conceptual analysis and model-building.
Reading: Chapter 1 of the lecture notes.
- Alan Hajek: "Pascal's wager" (2017)
- Ansgar Beckermann: "Is there a problem about intentionality?" (1996)
- Alisa Bukolich: How scientific models can explain (2011)
- Mark Colyvan: Idealisations in normative models (2013)
Week 2: Belief as probability
Basic rules of probability; Bayes' theorem; some applications.
Reading: Chapter 2 of the lecture notes.
- Ian Hacking: An Introduction to Probability and Inductive Logic, ch.s 3-7 (2001)
- Jonathan Weisberg: Odds and Ends, ch.s 5-9 (2019)
- Brian Skyrms: "Zeno's paradox of measure" (1983)
- Robert Stalnaker: "The problem of logical omniscience I" (1991)
Week 3: Probabilism
Why degrees of beliefs should conform to the principles of probability theory.
Reading: Chapter 3 of the lecture notes.
- Alan Hajek: "Dutch Book Arguments" (2008)
- Susan Vineberg: "Dutch Book Arguments" (2016)
- Peter Fishburn: "The Axioms of Subjective Probability" (1986)
Week 4: Further constraints on rational belief
Belief and perception; conditionalization; the Principle of Indifference; probability coordination.
Reading: Chapter 4 of the lecture notes.
- Ian Hacking: An Introduction to Probability and Inductive Logic (2001)
- Christopher Meacham: "Impermissive Bayesianism" (2014)
- Nick Bostrom: "The Doomsday Argument, Adam & Eve, UN++, and Quantum Joe" (2001)
Week 5: Utility
Two conceptions of utility; sources of utility; utility and credence; the formal structure of utility.
Reading: Chapter 5 of the lecture notes.
- Simon Blackburn: "Game Theory and Rational Choice", chapter 6 of Ruling Passions (1998)
- John Broome: "Utility" (1991)
Week 6: Preference
The ordinalist challenge; deriving utility measures from a preference ordering.
Reading: Chapter 6 of the lecture notes.
- Samir Okasha: "On the Interpretation of Decision Theory" (2016)
- Daniel Hausman: "Mistakes about Preferences in the Social Sciences" (2011)
- Peter Fishburn: "Utility and Subjective Probability" (1994)
Week 7: Separability
The composition of value; additivity; discounting.
Reading: Chapter 7 of the lecture notes.
- Paul Weirich: "Multi-Attribute Approaches to Risk" (2012)
- Johanna Thoma: "Temptation and preference-based instrumental rationality" (2018)
- John Broome: "Utilitarianism and Expected Utility" (1987)
Week 8: Risk
Why maximize expected utility? MEU and risk; localism.
Reading: Chapter 8 of the lecture notes.
- James Dreier: "Rational Preference: Decision Theory as a Theory of Practical Rationality" (1996)
- Paul Weirich: "Expected Utility and Risk" (1986)
- Lara Buchak: "Redescription" (2014)
Week 9: Evidential and Causal Decision Theory
Newcomb's problem; EDT vs CDT.
Reading: Chapter 9 of the lecture notes.
- Arif Ahmed: Introduction to Newcomb's Problem (2018)
- Jack Spencer and Ian Wells: "Why Take Both Boxes?" (2017)
- David Lewis: "Causal Decision Theory" (1981)
- Frank Arntzenius: "No Regrets, or: Edith Piaf Revamps Decision Theory" (2008).
Week 10: Game theory
Reading: Chapter 10 of the lecture notes.
- Brian Weatherson: Lecture Notes on Decision Theory, ch.s 19-27 (2015)
- Philip Pettit and Robert Sugden: "The Backward Induction Paradox" (1989)
- Brian Skyrms: "Game Theory, Rationality and Evolution of the Social Contract" (2000)
Week 11: Bounded rationality
Reading: Chapter 11 of the lecture notes.
- Samuel Gershman et al: "Computational rationality: A converging paradigm for intelligence in brains, minds, and machines" (2015)
- Daniel Kahneman: "A Perspective on Judgment and Choice: Mapping Bounded Rationality" (2003)
- Saemus Bradley: "Imprecise Probabilities" (2014)