Intelligent Information Processing Laboratory

Building intelligent information engineering systems with the use of artificial intelligence

We are conducting research, for artificial intelligence, on a machine learning method called reinforcement learning and its applications to multi-agent systems. Reinforcement learning is a method used to gradually learn how to make optimal behavioral choices by giving rewards or punishments depending on the results of the learning so as to strengthen or relax the rules of behavioral selections. Multi-agent systems refer to a group of many individual agents interacting with each other.
Affiliation Computer Science and Engineering
Faculty Name IGARASHI, Harukazu
Academic Society The Japanese Society for Artificial Intelligence
The Institute of Electronics, Information and Communication Engineers
Information Processing Society of Japan
Keyword Artificial intelligence, Multi-agent, Computer shogi, Game development, Algorithms, Robo Cup

Study Fields

For Society

Our research is eventually expected to be useful for managing systems that coordinate cooperative work using a group of robots and computers in areas such as making schedules (for freight transportation plans, etc.) and controlling systems (for traffics and unmanned transport vehicles, etc.) in the future.

Research Themes