6 EC
Semester 2, period 4
5314TIFE6Y
Formal epistemology uses mathematical and logical tools to explore and answer questions of epistemology and rationality. What makes a system of credences rational? What can/should a rational agent know or believe given a body of evidence? How strongly should they believe? When is a belief justified? How should a rational agent revise their beliefs and update their knowledge in light of new information?
This course introduces commonly used technical methods in formal epistemology and treats a collection of selected topics. In particular, we will use probability theory and (modal) logic to formalize notions of (strengths of) belief; and address epistemological issues concerning the nature of rationality, belief revision, logical omniscience, and reasoning about conditionals. Throughout, we will compare qualitative vs. quantitative approaches and assess their relative merits and weaknesses. Topics to be covered include, among others, Bayesian/probabilistic models of belief and belief revision, rationality constraints on credences, conditional credences and credences of conditionals, arguments for and against Bayesianism, measures for degrees of rationality. (This list is tentative and can be modified due to limited time and to address students' interests.)
The particular topics and relevant literature will be selected in a way that the course complements other related courses in the Master of Logic programme, such as Dynamic Epistemic Logic; Topology, Logic and Learning; and Philosophical Logic.
Titelbaum, M. G. (2022) Fundamentals of Bayesian Epistemology Volume 1 & 2. OUP.
Academic articles, book chapters, lecture slides, practice questions
can be found on the Canvas page of the course.
Activity | Hours | |
Hoorcollege | 28 | |
Presentatie | 6 | |
Werkcollege | 14 | |
Self study | 120 | |
Total | 168 | (6 EC x 28 uur) |
This programme does not have requirements concerning attendance (TER-B).
| Item and weight | Details |
|
Final grade |
Details can be found in the course syllabus published on Canvas.
A date and time for inspection will be announced to the students of the course via Canvas.
All assessed and non-assessed components of the course are described in detail in the course syllabus.
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
Detailed weekly plan of the course can be found on Canvas.
Week 1: Motivation and Technical Preliminaries
Week 2: Conditional Probabilities, Conditionals, and Triviality
Week 3: Updates and Further Rationality Constraints
Week 4: Further Rationality Constraints - II
Week 5: Arguments for Bayesianism
Week 6: Arguments against Bayesianism
Week 7: Summary of the content and Preperation for Student Presentations
Week 8: Student Presentations