02CF206 Intelligent Systems

1.0 Credits, 1 - 3 Year, FallB Sat5,6
Setsuya Kurahashi

Course Overview

This lecture focuses on the principles and modeling for solving problems of a complex society. The main aim of this lecture is to understand state-of-the-art techniques to model various phenomena of our society using evolutionary programming, learning theory, agent-based simulation and so on.

Remarks

Open in an even number year.
Identical to 02FA247 and 0BD5005.
face-to-face

Course Type

lectures

Relation to Degree Program Competences

Ability to create knowledge
Management ability
Ability to solve a problem

Course Objectives(Learning Outcomes)

Modelling of objects and a scientific approach for complex systems are necessary to solve complex social problems. Intelligent information system adopts an autonomous and adaptive bottom-up approach to make a model of social phenomena based on agent-based technology, evolutionary computing, learning theory and so on. In this lecture, students study them through participatory learning along with financial market simulation, business game and power market game.

Course Keywords

Intelligent systems

Class Schedule

Course Prerequisites

Grading Philosophy

Participatory to the lecture and discussion (50%), Report (50%)

Course Hours Breakdown and Out-of-Class Learning

Textbooks, References,and Supplementary Materials

Office Hours and Contact Information

Other(Behavioral expectations and points to note for students during coursework)

Relation to Other Courses

Teaching Fellow and/or Teaching Assistant