6M018800
1 Special Lecture on Social Systems Science
At the end of the course, participants are expected to:
1) Perform agent-based modeling and simulation for a wide range of social systems.
2) Explain the characteristics of agent-based social simulation as a research methodology.
3) Explain research results persuasively, following the standard practices and conventions of agent-based social simulation.
The aim of this course is to systematically understand the foundations of social simulation using agent-based modeling. Students
will acquire knowledge of the characteristics of target systems assumed in social simulation, the concepts of agent-based
models, basic modeling procedures, simulation experiments, and analysis methods.
Based on their own research plans, students will conduct research using agent-based social simulation and report and present
their findings.
- Perform agent-based modeling and simulation for a wide range of social systems.
- Explain the characteristics of agent-based social simulation as a research methodology.
- Explain research results persuasively, following the standard practices and conventions of agent-based social simulation.
Relationship between 'Goals and Objectives' and 'Course Outcomes'
|
Mini Report |
Final Presentation |
Total. |
| 1. |
20% |
20% |
40% |
| 2. |
15% |
10% |
25% |
| 3. |
15% |
20% |
35% |
| Total. |
50% |
50% |
- |
|
Class schedule |
HW assignments (Including preparation and review of the class.) |
Amount of Time Required |
| 1. |
Guidance and Introduction |
Check the syllabus |
40minutes |
| Work on course exercises. |
150minutes |
| 2. |
Agent-based models |
Work on course exercises. |
190minutes |
| 3. |
Agent-based modeling |
Work on course exercises. |
190minutes |
| 4. |
Documantation of agent-based models |
Work on course exercises. |
190minutes |
| 5. |
Modeling cycle |
Work on course exercises. |
190minutes |
| 6. |
Parameter setting |
Work on course exercises. |
190minutes |
| 7. |
Verification, Validation, and Accreditation |
Work on course exercises. |
190minutes |
| 8. |
Simulation |
Work on course exercises. |
190minutes |
| 9. |
Research Planning and Execution (1): Topic Survey and Selection |
Research activities |
190minutes |
| 10. |
Research Planning and Execution (2): Modeling |
Research activities |
190minutes |
| 11. |
Research Planning and Execution (3): Simulation Experiments and Analysis |
Research activities |
190minutes |
| 12. |
Research Planning and Execution (4): Simulation Experiments and Analysis |
Research activities |
190minutes |
| 13. |
Research Planning and Execution (5): Preparation of Presentation Materials |
Research activities |
190minutes |
| 14. |
Research Planning and Execution (6): Presentation and Final Summary |
Make presentation materials |
190minutes |
| Total. |
- |
- |
2660minutes |
Evaluation method and criteria
The final grade is calculated out of 100 points, and a score of 60 points or higher is required to pass. The breakdown is
as follows:
1) Chapter Assignments: 50 points
2) Final Presentation: 50 points
Standard for Passing:
To pass this course, students must meet the following requirements:
- Complete all chapter assignments and research projects.
- Attend and actively participate in discussions during the final presentations.
- Engage in the peer review / mutual evaluation process.
Feedback on exams, assignments, etc.
| ways of feedback |
specific contents about "Other" |
| Feedback in the class |
|
Textbooks and reference materials
Textbook:
Yusuke Goto, Introduction to Social Simulation via Agent-Based Modeling (2021)
Please download and use the PDF available at the following URL:
https://yskgt-sim.github.io/file/ABM.pdf
Reference Book:
- Nigel Gilbert and Klaus G. Troitzsch, Simulation for the Social Scientist, Open University Press (1999) / Japanese Edition:
The Art of Social Simulation, Nihon Hyoron Sha (2003)
- Shingo Takahashi, Yusuke Goto, and Kotaro Ohori, Social System Modeling, Kyoritsu Shuppan (2022)
- Simulation Environment: We will use NetLogo in this course.
- Personal Computers: A laptop is required for every class. Please make sure to bring your own PC to each session.
Office hours and How to contact professors for questions
- - Communication Channel: For questions or consultations, please post in the designated channel on Microsoft Teams or contact
the instructor directly via Teams chat.
- Availability: You are welcome to send messages at any time or on any day of the week. You do not need to worry about the
specific day or hour when sending your inquiries.
Non-regionally-oriented course
Development of social and professional independence
- Course that cultivates an ability for utilizing knowledge
- Course that cultivates a basic interpersonal skills
- Course that cultivates a basic problem-solving skills
Most classes are interactive
Course by professor with work experience
| Work experience |
Work experience and relevance to the course content if applicable |
| Applicable |
Drawing on my professional experience at a research institute of the Ministry of Health, Labour and Welfare, I will introduce
the practical applications of data science in public administration. The course will feature specific examples of data analysis and simulation within the fields of health, medical care, and social
welfare to demonstrate how evidence-based approaches are implemented in government policy-making.
|
Education related SDGs:the Sustainable Development Goals
- 3.GOOD HEALTH AND WELL-BEING
- 4.QUALITY EDUCATION
- 7.AFFORDABLE AND CLEAN ENERGY
- 8.DECENT WORK AND ECONOMIC GROWTH
- 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
- 11.SUSTAINABLE CITIES AND COMMUNITIES
Last modified : Thu Mar 19 04:08:50 JST 2026