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FDD3250 Knowledge in Games with Imperfect Information 6.0 credits

The course introduces the concepts of multi-player games with imperfect information, knowledge, objectives, and strategies. In particular, it focuses on the role of higher-order knowledge for algorithmic strategy synthesis, and on epistemic logic as a logic framework to reason about knowledge in multi-player games.

Information per course offering

Termin

Information for Spring 2025 Start 14 Jan 2025 programme students

Course location

KTH Campus

Duration
14 Jan 2025 - 16 Mar 2025
Periods
P3 (6.0 hp)
Pace of study

50%

Application code

61198

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group
No information inserted
Planned modular schedule
[object Object]
Schedule
Schedule is not published
Part of programme
No information inserted

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FDD3250 (Spring 2025–)
Headings with content from the Course syllabus FDD3250 (Spring 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

The course consists of 7 lectures, 4 homework assignments peer-reviewed in class, and an individual project.

Course contents

  1. Games with imperfect information
  2. Objectives, strategies and strategy synthesis
  3. A knowledge-based subset construction
  4. Knowledge representation and update
  5. Knowledge-based strategies
  6. Games and epistemic logic

Intended learning outcomes

After completing the course, the student will be able to:

  • model realistic situations as games with imperfect information (GIIs);
  • explain the limitations of the model;
  • apply the knowledge-based subset construction (KBSC) to expand GIIs;
  • search for memoryless strategies in expanded MAGs;
  • convert memoryless strategies in expanded GIIs to finite-memory strategies in the original GII;
  • express properties of knowledge in epistemic logic

Literature and preparations

Specific prerequisites

None

Recommended prerequisites

Courses or course credits equivalent to foundational knowledge in discrete mathematics, predicate logic, and automata theory.

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

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • EXA1 - Examination, 6.0 credits, grading scale: P, F

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.

The students are graded on the basis of the homeworks and the project report.

Other requirements for final grade

None

Examiner

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

Postgraduate course

Postgraduate courses at EECS/Theoretical Computer Science