The theme of this course is "Social Sciences with Evolutionary Simulation." This course deals with a social theory for emergence of a community. a nation and a state. A variety of problematic situations leading to social dilemma, such as a war of all against all, free-rider problem etc., are explained. Also it is introduced that the dilemmas can be solved with emergence of a community, a nation and a state, using evolutionary game theory and evolutionary simulation. In addition, explaining trends of computational social sciences, we consider local currency and crowdfunding empirically and discuss how to understand social phenomena.
This course aims to cultivate student’s capability to draw insights of a complex society in a manner of social systems sciences. It is achieved by explaining a social scientific interpretation for mathematical models and computer programs dealing with the problematic situations and critical discussions with students.
Upon completion of this course, students should be able to:
1) Understand the concepts, a social exchange such as 1:1 and 1:N generalized exchange, the war of all against all, free riders, in-group favoritism, a predatory state etc.;
2) Understand that these concepts have a structure of social dilemma and they can be described as a mathematical model or a program;
3) Understand how evolutionary game theory and an evolutionary simulation can be applied to social sciences; and
4) Interpret the outputs from the model, in particular, understand that the model leads to a variety of insight into a community, a nation, and a state;
5) Consider the mutual aid society through analysis on local currency and crowdfunding with data science.
✔ Applicable | How instructors' work experience benefits the course |
---|---|
The background of this lecture is very related to how to cooperate among those who don't know each other. The lecturer has the experience of National Space Development Agency and Mitsubishi Research Institute, and students can understand the meanings on theoretical models, by the lecturer's comparison of theory and reality of a society. |
general exchange, a war of all against all, free-rider problem, in-group favoritism, predatory state, social dilemma, evolutionary game theory, evolutionary simulation, community, nation, state, local currency, crowdfunding, computational social science, data science
✔ Specialist skills | ✔ Intercultural skills | Communication skills | ✔ Critical thinking skills | Practical and/or problem-solving skills |
In the course, to understand social and historical phenomena, mathematical models or algorithm will be explained as simply as possible. In addition, social scientific interpretations on the models will be discussed. As a result, students are hoped to have the social systems insight.
This is a three-day intensive course, and dates and time periods are as follows:
(**The schedule was revised on April 10th.)
(New)
August 10th: Class 1(Period 3-4), Class 2(Period 5-6)
August 11th: Class 3(Period 3-4), Class 4(Period 5-6)
August 16th: Class 5(Period 3-4), Class 6(Period 5-6), Class 7(Period 7-8)
(Old)
August 7th: Class 1(Period 5-6), Class 2(Period 7-8)
August 11th: Class 3(Period 3-4), Class 4(Period 5-6)
August 12th: Class 5(Period 3-4), Class 6(Period 5-6), Class 7(Period 7-8)
***Classes will be offered live via Zoom throughout three days.
Students are required to attend all classes throughout the three days.
Course schedule | Required learning | |
---|---|---|
Class 1 | Systems science on society and history | Understand puzzles in social science with systems sciences |
Class 2 | Collective direct reciprocal system - emergence of community | Explain the collective direct reciprocity. |
Class 3 | Tag-based community system - emergence of nation | Explain the formation of trust on a tag (in-group favoritism) |
Class 4 | Defense system supported by tribute - emergence of state | Explain the relationship with tribute and defense. Understand the formation mechanism of states system in Europe |
Class 5 | Emergence of mutual aid society - data science analysis on local currency | Explain the mechanisms of local currency |
Class 6 | Emergence of mutual aid society - data science analysis on crowdfunding | Explain the mechanisms of crowdfunding |
Class 7 | Emergence of mutual aid society - discussions with insights on future | What is a mutual aid society? |
None required.
Course materials are posted on OCW-i and/or provided during the classes.
Students are encouraged to participate in discussions. Each student is required to prepare and submit the following reports: the report to consider emergence and stability of mutual aid society from the view point of social systems science. The assessment will be based on participation in the discussions (40%) and the report (60%).
Prospective students should have interests in a society and history.
Professor Yutaka Nakai, nakai[at]shibaura-it.ac.jp
This course includes the content of science.
***Classes will be offered live via Zoom throughout three days.
This course is 500-level course.
Tokyo Tech’s “wedge-shaped style education” enables students to pursue liberal arts education in a phased manner
throughout undergraduate and graduate programs.
Students are encouraged to take courses in the sequence of 100, 200, 300, 400, 500, and 600 levels.
As such, master’s students entering in April must begin from 400-level liberal arts courses in 1Q and 2Q of the first year, then proceed to 500-level courses.