MXIC旺宏243 W5W6
In daily life, we make decisions frequently, such as choosing clothes, a restaurant for lunch, or a place for visiting, and so on. Some decisions are done out of our consciousness, some require our deep consideration. How can we deal with the decision problem? Can we understand more about the process and make a better decision? This course is aimed to introduce the fundamentals in decision theory and game theory through lectures, films, and experiments for students to practice the theories and the associated applications.
NOTICE: For the students who want to take this course, you HAVE to attend at least one of the first two weeks (9/13 and 9/20). Otherwise, your final score will be 80 at the most. I. Syllabus 1. Introduction: (9/13) A. Overview: Decision theory and Game theory B. How we proceed: lectures, experiments, and homework C. Questions for today D. Evaluations: group report and 2 min presentation 2. Decision under Certainty (9/20) A. Overview on decision under certainty B. Rules and conflicts C. Dilemmas and Moral issue Ch. 1 in Ref. 1 3. Good or rational decision (9/27) Jigsaw reading on the related articles Voting problems Ch. 3, 4 in Ref. 4 4. Decision under Risk: fundamentals(10/4) A. Probability, expected value B. Expected utility and expected utility theory C. Step by step: making payoff tables Ch. 1 in Ref. 4 5. Decision under Risk: How (10/11) A. Nature of risk B. Prospect theory C. Factors affect our decisions Ch. 26 in Ref. 6 6. Decision under Risk: applications (10/18) A. Measuring your confidence B. Being an honest decision maker Ch. 29 in Ref. 6 7. Decision under uncertainty (10/25) A. Known and unknown B. Positive or negative feedback C. Min, Max, or the mixed strategies Ch. 2, 3 in Ref. 3 8. holiday (11/1) 9. Midterm: Exercise and Examination (11/8) 10. Decision Making under Uncertainty - insufficient information(11/15) 11. Game theory: introduction (11/22) A. Common knowledge of rationality B. Other’s move C. Motivation and incentives Ch. 1-3 in Ref. 7 12. Game theory: learning by playing (11/29) A. Taxonomy of games B. Learning by playing (Experiment) P. 3-29 in Ref. 2 13. Experiments (12/6) Roommate, Free Riders, and Battle of the Sexes, Tragedy of the commons P. 30-59 in Ref. 2 Ch. 3 in Ref. 18 14. Cooperation (12/13) A. To cooperate or not to cooperate? B. Dice or coin? Games on probability with competitors Ch. 10 in Ref. 7 Ch. 7 in Ref. 18 15. Evolutionary games (12/20) Evolutionary stable strategy Ch. 4, 5 in Ref. 5 P. 99-117 in Ref. 2 Ref. 8 16. Final exam (12/27) II. Evaluation: 1. Attendance on 9/13 and 9/20: 10 % Requirements for this course is announced in the first two lectures. The students have to attend to the classes. 2. Participation and Discussion for the rest: 10 % The students are required to answer the “questions for today” released in the class every week (10 times in total). 3. Midterm examination: 15 % 4. Experiments: 50 % Students are required to write a group report for each experiment. 5. Final examination: 15 % 6. Bonus: less that 10% to encourage students in experiments III. References: 1. An Introduction to Decision Theory 2nd edition Martin Peterson, ISBN: 978-1-107-15159-8 2. Introducing Game Theory Ivan Pastine, Tuvana Pastine, and Tom Humberstone, ISBN: 978-178578-082-0 3. Economia emotiva 情感經濟學 Matteo Motterlini, ISBN: 978-986-134-145-3 4. Sidetracked: Why our decisions get derailed, and how we can stick to the plan 為什麼我們的決定常出錯? Francesca Gino, ISBN: 978-986-272-603-7 5. Evolutionary Dynamics: exploring the equations of life Martin A. Nowak, ISBN: 0-674-02338-3 6. Thinking, fast and slow Daniel Kahneman, ISBN: 978-0-374-53355-7 7. Prisoner’s Dilemma 囚犯的兩難-賽局理論與數學天才馮紐曼的故事 William Poundstone, ISBN: 978-986-7174-76-5 8. Pan W, Chen Y-S (2018) Network approach for decision making under risk—How do we choose among probabilistic options with the same expected value? PLoS ONE 13(4): e0196060. https://doi.org/10.1371/journal.pone.0196060 The use of AI is conditionally open. You may use AI to check the grammar of your reports, please specify.
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
16週課程,加退選期間欲選課請透過加簽
-
-
-
-
-