| This course introduces selected topics in social epistemology, which addresses epistemological problems on a societal level. The primary focus will be on mathematical models of belief aggregation problems, which can vary depending on the input or output data type, logical relations of issues, incorporation of (shared) evidence or peer respect, and considerations of dynamic factors or long-term effects. Specifically, this course will cover topics such as judgment aggregation, probabilistic opinion pooling, Condorcet's jury theorem, the wisdom of crowds, Aumann's agreeing to disagree, consensus formation, and Bayesian merging of opinions. A prerequisite for this course is first-order logic. Some familiarity with basic set theory and probability calculus would be beneficial. The course will be conducted in English. As there is no standard textbook for mathematical social epistemology except for judgement aggregation, the course will follow my lecture notes referencing important papers in social epistemology. |
- Kursleiter/in: Christian Tobias Straßer
- Kursleiter/in: Minkyung Wang
Semester: SoSe 2024