Decision theory seeks to analyse decision making by representing beliefs and preferences as probabilities and utilities, respectively. In this course we discuss the conceptual foundations of such an approach, by focusing on the Bayesian framework developed by Richard Jeffrey and contrast it with alternative approaches. Specifically, we will discuss the notion of desirability, the Bolker-Jeffrey representation theorem and the model of probability kinematics.
FAK3121 Advanced Decision Theory 7.5 credits
This course has been discontinued.
Decision to discontinue this course:
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Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FAK3121 (Autumn 2023–)Headings with content from the Course syllabus FAK3121 (Autumn 2023–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
After completed course, the student should be able to analyse advanced arguments and issues in
- decision under risk and ignorance,
- the conceptual basis of decision theory and statistics
- formalization of decision problems.
Literature and preparations
Specific prerequisites
Entry requirements for PhD studies.
Literature
You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.
Examination and completion
Grading scale
G
Examination
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
If the course is discontinued, students may request to be examined during the following two academic years.
Essay and/or oral examination according tu decission by the examinator
Examiner
No information inserted
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
This course does not belong to any Main field of study.
Education cycle
Third cycle