Holiday
ENG I工一 431 W5W6
In daily life, we frequently make decisions, ranging from choosing clothes to selecting a restaurant for lunch. Some decisions are made subconsciously, while others require deep consideration. How should we approach the problem of decision-making? Can we gain a better understanding of the process to make more informed decisions? This course is designed to introduce the fundamentals of decision theory and game theory. Through lectures, films, and hands-on experiments, students will have the opportunity to apply these theories and explore their practical applications.
Course keywords: decision making, game theory, risk, rationality, NOTICE: For the students who want to take this course, you HAVE to attend in the first class, 9/4. Otherwise, your final score will be 95 at the most. I. Syllabus 1. Introduction: (9/4) A. Overview: Decision theory and Game theory B. How we proceed: lectures, experiments, and homework C. Questions for today D. Evaluations: group report and 3 min presentation 2. Decision under Certainty (9/11) A. Overview on decision under certainty B. Rules and conflicts C. Dilemmas and Moral issue Ch. 1 in Ref. 1 3. Decision under Risk: fundamentals (9/18) A. Probability, expected value B. Expected utility C. Step by step: making payoff tables Ch. 1 in Ref. 4 4. Decision under Risk: How (9/25) A. Nature of risk B. Prospect theory C. Factors affect our decisions Ch. 26 in Ref. 6 5. Decision under Risk: applications (10/2) A. Measuring your confidence B. Being an honest decision maker Ch. 29 in Ref. 6 6. Presentation (10/9) Everybody is required to give a 5 min talk for the previous experiments 7. Decision under uncertainty (10/16) A. Known and unknown B. Positive or negative feedback C. Min, Max, or the mixed strategies Ch. 2, 3 in Ref. 3 8. Game theory: learning by playing (10/23) A. Taxonomy of games B. Learning by playing (Experiment) 9. Midterm: Exercise and Examination (10/30) 10. Game theory: introduction (11/6) A. Common knowledge of rationality B. Other’s move C. Motivation and incentives Ch. 1-3 in Ref. 7 11. Experiments (11/13) Roommates, Free Riders, and other games P. 30-59 in Ref. 2 Ch. 3 in Ref. 18 12. Cooperation (11/20) A. To cooperate or not to cooperate? B. Tragedy of the commons (experiment) Ch. 10 in Ref. 7 Ch. 7 in Ref. 18 13. Risky games (11/27) Dice or coin? Games on probability with competitors Evolutionary stable strategy Ch. 4, 5 in Ref. 5 P. 99-117 in Ref. 2 Ref. 8 14. Game of Runaway (12/4) 15. Final exam (12/11) 16. Reviews and Reflections (12/18) II. Evaluation: 1. Initial attendance on 9/4: 5 % Requirements for this course will be announced in the first lecture. 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. 3. Midterm examination: 30 % 4. Experiments: 30 % Students are required to write a report for each experiment. 5. Final examination: 25 % 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 IV. The use of AI is conditionally open. You may use AI to check the grammar of your reports, please specify.
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平均百分制 91.46
標準差 5.78
平均百分制 87.38
標準差 6.98
平均百分制 84.95
標準差 16.94
加退選期間欲選課請洽教師.
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