Research from our laboratory has been accepted for presentation at the international conference SCIS&ISIS 2026 (Joint 14th International Conference on Soft Computing and Intelligent Systems and 27th International Symposium on Advanced Intelligent Systems). SCIS&ISIS is a long-established international conference on soft computing, covering so-called ‘flexible’ computational methods such as evolutionary computation and reinforcement learning, as well as intelligent systems.

The presentation proposes a technique that extends evolutionary machine learning known as Learning Classifier System (LCS) to multi-agent systems, and outputs cooperative policies for multiple robots as interpretable rules.
Details are provided below. If you are interested and will be attending the conference, we would be pleased to welcome you to the presentation.

Presentation title: Interpretable Rule Generation for Policy Representation in Multi-Agent Systems
Authors: Fumito Uwano, Yushi Imamura, and Manabu Ohta
Date and time: TBD
Venue: Tokyo Tama Mirai Messe, Hachioji, Tokyo
Conference: Joint 14th International Conference on Soft Computing and Intelligent Systems and 27th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2026)

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