人間・機械共学習コンセプトの提案と衛星群通信ネットワーク計画問題への適用

概要

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We propose a concept of human machine co-learning, in which the system learns the user's intention interactively, and the planner as a user learns the characteristics of the problem based on the solution represented by the system. In this paper, we propose a method to reflect the user's intention on the optimization by providing the interactive user interface connecting between "the design space", which is easier for a user to understand, and "the evaluation space", in which the system executes the optimization. We applied this idea to the NETSAT communication planning problem. NETSAT consists of existent multiple low-earth orbit satellites, and forms an ad hoc network dynamically according to the satellite position at the time when a certain communication is required. The effectiveness of our proposed method is evaluated by using the prototype system of the satellite simulator and interactive planner.
THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCESの論文