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Decision Theory
Abbreviation: TEODLLoad: 30(L) + 15(E) + 0(LE) + 0(CE) + 0(PEE) + 0(FE) + 0(S) + 0(DE) + 0(P) + 0(FLE) + 0()
Lecturers in charge: pred. mr. sc. Petar Gregorek
Lecturers: pred. mr. sc. Petar Gregorek ( Exercises )
Course description: Course objectives:
The goal is to set mathematical game theory, which might better be called the mathematical theory of conflict and cooperation. It is applicable whenever two individualsor companies, or political parties, or nationsconfront situations where the outcome for each depends on the behavior of all. What are the best strategies in such situations? If there are chances of cooperation, with whom should you cooperate, and how should you share the proceeds of cooperation?

Enrolment requirements and required entry competences for the course:
None.

Student responsibilities:
Attendance to lectures and give one seminar work.

Grading and evaluation of student work over the course of instruction and at a final exam:
Grades are formed according seminar work and interactions on lectures/seminar works. Grades can be improved by oral enxamination.

Methods of monitoring quality that ensure acquisition of exit competences:
The quality of public seminar work using PPT presentation or using Beamer.

Upon successful completion of the course, students will be able to (learning outcomes):
Student, after they passed, will be able to form winning strategies that are applicable in different interactive "confrotations" in a broader sense of meaning.

Lectures
1. Twoperson games. Zero sum games.
2. Dominance and saddle points. Mixed strategies. Von Neumann theorem.
3. Application to antropology: Jamaican fishing.
4. Application to warfare: guerillas, police and missiles
5. Application to philosophy: Newcomb"s problem and free will
6. Game trees
7. Competetive decision making
8. Utility theory
9. Games against nature
10. Nash equilibria
11. The prisoner"s dilemma
12. Applications to social psychology
13. Strategic moves
14. Applications to biology: evolutionary stable strategies
15. Cooperative solutions

Exercises
1. Twoperson games. Zero sum games.
2. Dominance and saddle points. Mixed strategies. Von Neumann theorem.
3. Application to antropology: Jamaican fishing.
4. Application to warfare: guerillas, police and missiles
5. Application to philosophy: Newcomb"s problem and free will
6. Game trees
7. Competetive decision making
8. Utility theory
9. Games against nature
10. Nash equilibria
11. The prisoner"s dilemma
12. Applications to social psychology
13. Strategic moves
14. Applications to biology: evolutionary stable strategies
15. Cooperative solutions
Lecture languages: hr
Compulsory literature:
1. Philip D. Straffin: "Game Theory and Strategy", MAA, 1993.
Recommended literature:
2. -
Legend
L - Lectures
FLE - Practical foreign language exercises
-
E - Exercises
LE - Laboratory exercises
CE - Project laboratory
PEE - Physical education excercises
FE - Field exercises
S - Seminar
DE - Design exercises
P - Practicum
* - Not graded
Copyright (c) 2006. Ministarstva znanosti, obrazovanja i športa. Sva prava zadržana.
Programska podrška (c) 2006. Fakultet elektrotehnike i računarstva.
Oblikovanje(c) 2006. Listopad Web Studio.
Posljednja izmjena 2019-06-07