《博弈论》课程教学大纲（2020秋季）英文版

1、Syllabus of Game TheoryCourse Name：Game Theory Course Code： Credits：2 Total Credit Hours：32 Lecture Hours：32 Experiment Hours：0 Programming Hours：0 Practice Hours：0Total Number of Experimental (Programming) Projects 0 , Where, Compulsory ( 0 ), Optional ( 0 ).School：School of Business Target Major：M

2、anagement/Economics/Industrial Engineering、Course Nature & AimsGame theory is a specialty course of economic management major, is a general course in industrial engineering professional training scheme. As a major theoretical basis of information economics, game theory provides an efficient analysis

3、 tool for modern economics study. Combining the game theory method and the classic game model, the course emphasizes the game decision analysis mentality and highlights model to expand application. The course emphasizes the combination of theory and practice ability at the undergraduate level. This

4、course aims to enable students to master the game theory thought, principle and analysis method, in order to analyze the real economic phenomena with game theory.、Course Objectives1. Moral Education and Character Cultivation.Learn game theory and methods through the course and have a comprehensive u

5、nderstanding of game theory. Through the explanation of the history of game theory and the establishment of relevant theories and technologies, understand how predecessors thought during the development of game theory and information economics, how to establish scientific thinking methods and courag

6、e to overcome the obstacles and challenges encountered. From the perspective of the application of game theory to promote innovation-driven development in China, with the research work of outstanding contributors as the carrier, the education of socialist core values is integrated into the course co

7、ntent and the entire process of the teaching process, highlighting value guidance, knowledge transfer and ability training to help students correctly understand the laws of history, accurately grasp the basic national conditions, grasp the scientific world outlook and methodology, and promote the es

8、tablishment of a correct world outlook and values.2.Course ObjectivesThrough the study of this course, students qualities, skills, knowledge and abilities obtained are as follows：Objective 1. Master the knowledge of the concept, theory, structure and analysis method of game theory.（Corresponding to

9、Chapter 1,2,3,4, supporting for graduation requirements index1,4,8,9,10,11）Objective 2. Master the theoretical basis and analytical skills of game prediction and decision-making.（Corresponding to Chapter 5,6,7, supporting for graduation requirements index 1,3,4,8,9,10,11）Objective 3. Master the abil

10、ity to analyze the behavior characteristics of social and economic activities, explain and predict the phenomena of social and economic activities.（Corresponding to Chapter8, supporting for graduation requirements index 1,5,7,9,10,11）3. Supporting for Graduation RequirementsThe graduation requiremen

11、ts supported by course objectives are mainly reflected in the graduation requirements indices 1-11, as follows:Supporting for Graduation RequirementsCourse ObjectivesGraduation RequirementsIndices and Contents Supporting for Graduation RequirementsTeaching TopicsLevel of Support IndicesContentsObjec

12、tive 1Master solid mathematical basic theory and good computer skillsIndex 2,3,42) Ability to understand and use the latest industrial engineering techniques and tools3) System planning and design capabilities4) Ability to analyze and interpret dataChapter 1,2,3,4MObjective 2Master basic knowledge a

13、nd skills in economic management, humanities and social sciencesIndex 6,7,8,9,10,116) Professional and ethical responsibilities7) Ability to communicate effectively8) Lifelong learning cognition and ability9) Understanding of contemporary issues10) Ability to understand the impact of engineering sol

14、utions on the global, economic, environmental and social aspects with broad knowledge11) A high humanistic qualityChapter 5,6,7HObjective 3Master comprehensive professional ability to analyze, plan, design, manage and operate complex socio-economic activity systemsIndex 1,2,3,4,5,7,101) Ability to a

15、pply mathematics, science and engineering knowledge2) Ability to understand and use the latest industrial engineering techniques and tools3) System planning and design capabilities4) Ability to analyze and interpret data5) Teamwork and leadership skills7) Ability to communicate effectively10) Abilit

16、y to understand the impact of engineering solutions on the global, economic, environmental and social aspects with broad knowledgeChapter 8M、Basic Course ContentChapter 1 Introduction (supporting course objectives *1*)1.1 What is game theory1.2 Classic game model 1.3 Game structure Teaching Requirem

17、ents: Master the concept of game theoryMaster the basic elements of game Know the analysis method of classic game model,Prisoners dilemma game, Cournot model of output decisionKey Points：1.2Difficult Points：1.2Chapter 2 Complete information static game (supporting course objectives *1*)2.1 Basic ana

18、lysis method 2.2 Nash Equilibrium2.3 Infinite strategy game analysis and response function2.4 Mixed strategy and mixed strategy Nash equilibrium2.5 Existence of Nash equilibrium2.6 Extension analysis method of Nash equilibriumTeaching Requirements:Master scribe method, solving the Nash equilibrium M

19、aster the infinite strategy game analysis method, solving the mixed strategy Nash equilibriumUnderstand the existence of the Nash equilibriumKey Points：2.2, 2.3, 2.4Difficult Points：2.3, .24Chapter 3 Complete and perfect information dynamic game (supporting course objectives *1*)3.1 Dynamic game rep

20、resentation and characteristics 3.2 Credibility and Nash equilibrium3.3 Subgame and subgame perfect Nash equilibrium3.4 Several classical dynamic game model3.5 Dynamic game model with choice at the same time3.6 Extension analysis method of dynamic gameTeaching Requirements:Master the representation

21、of dynamic gameMaster the reverse induction method, solving the sub game perfect Nash equilibriumFamiliar with classical dynamic game modelUnderstand the shaking hands game and pushing induction methodKey Points：3.2, 3.3, 3.4Difficult Points：3.2, 3.4Chapter 4 Repeated Game (supporting course objecti

22、ves *1*)4.1 Introduction of repeat game4.2 limited repeated game4.3 Infinite repeated gameTeaching Requirements:Familiar with the basic concept of repeate gameMaster the analysis method of limited repeated game, including zero-sum game, unique pure strategy Nash equilibrium game, repeated game of mu

23、ltiple pure strategy Nash equilibrium gamesMaster the analysis method of infinite repeated game, including repetition of zero-sum games and unique pure strategy Nash equilibrium gamesKey Points：4.2, 4.3Difficult Points：4.3Chapter 5 Complete but imperfect information dynamic game (supporting course o

24、bjectives *2*) 5.1 Imperfect information dynamic game concept5.2 Perfect Bayesian equilibrium5.3 Second-hand car trading model with single price5.4 Bivalent second-hand car trading5.5 Bivalent second-hand car trading with refund guaranteeTeaching Requirements:Understand the concept of imperfect info

25、rmation dynamic gameUnderstand the perfect Bayesian equilibriumMaster the analysis method of second-hand car trading modelsKey Points：5.3, 5.4, 5.5Difficult Points：5.3, 5.4Chapter 6 Incomplete information static game (supporting course objectives *2*) 6.1 Static Bayesian game and Bayesian Nash equil

26、ibrium6.2 Sealed auctionTeaching Requirements:Understand the concept of static Bayesian gameMaster Harsanyi transformation Understand the classical dark auction game model, solving the Bayesian Nash equilibriumKey Points：6.2Difficult Points：6.2Chapter 7 Incomplete information dynamic game (supportin

27、g course objectives *2*)7.1 Incomplete information dynamic game 7.2 Statement game7.3 Signal gameTeaching Requirements:Understand the types of incomplete information dynamic game and Harsanyi transformationMaster the continuity statement gameMaster the signal game model and perfect Bayesian equilibr

28、iumKey Points：7.2, 7.3Difficult Points：7.3Chapter 8 Limited rationality and evolutionary game (supporting course objectives *3 *)8.1 Limited rationality game analysis framework8.2 The optimal reaction dynamics8.3 Replication dynamic and evolutionary stability: two-person symmetric game, two-person a

29、symmetric gameTeaching Requirements:1、Understand effects of bounded rationality on the game2、Understand the bounded rationality analysis framework3、Master the replication dynamic and evolutionary stable strategy Key Points：8.2, 8.3Difficult Points：8.3、Table of Credit Hour Distribution Teaching Conte

30、ntIdeological and Political Integrated Lecture HoursExperiment HoursPractice HoursProgramming HoursSelf-study HoursExercise ClassDiscussion HoursChapter 1 IntroductionScientific worldview2Chapter 2 Complete information static gameScientific way of thinking4Chapter 3 Complete and perfect information

31、dynamic game Scientific way of thinking6Chapter 4 Repeated GameScientific methodology4Chapter 5 Complete but imperfect information dynamic gameScientific methodology4Chapter 6 Incomplete information static gameScientific way of thinking4Chapter 7 Incomplete information dynamic gameScientific way of

32、thinking4Chapter 8 Limited rationality and evolutionary gameInnovative mind2Examination 2Total302Sum32、Summary of Experimental (Programming) ProjectsNo experiment (programming) session、Teaching MethodClassroom teaching: The teaching of this lesson is mainly based on the teachers classroom teaching.

33、The teaching process uses blackboard writing and multimedia teaching, strengthens teacher-student interaction, and focuses on heuristic teaching.Seminar teaching: According to the specific teaching content, carry out appropriate seminar activities. Teachers provide discussion questions, and students

34、 prepare in class after the class, and then conduct class discussions in order to improve the teamwork ability of the students.Heuristic teaching: teaching important questions, analyzing problems, and solving problems, subtly training students corresponding abilities; emphasizing the importance of p

35、ractical experience and learning in practice.、Course Assessment and Achievement EvaluationAssessment Methods：ExaminationExamination Formats：Closed-bookGrading Methods：Hundred-mark SystemCourse Assessment Content, Assessment Format and Supporting Course ObjectivesCourse Objectives（Indices）Assessment

36、ContentAssessment Formats and Proportion（）GradingClassroom QuestioningAssignment EvaluationRoutineTestExperiment ReportTermReportTermPaperMidterm ExamFinal ExamProportion（）Objective 1. Master the knowledge of the concept, theory, structure and analysis method of game theory.（Index1,4,8,9,10,11）Game

37、theory basic structure, static game Nash equilibrium solution, dynamic game structure, sub-game perfect Nash equilibrium solution, game efficiency analysis, classic game model application843042Objective 2. Master the theoretical basis and analytical skills of game prediction and decision-making.（Ind

38、ex 1,3,4,8,9,10,11）Incomplete information static game, Bayesian Nash equilibrium, incomplete information dynamic game, perfect Bayesian equilibrium solution, model application843042Objective 3Master the ability to analyze the behavior characteristics of social and economic activities, explain and predict the phenomena of social and economic activities.（Index 1,5,7,9,10,11）Limited rat