FML-based Prediction Agent and Its Application to Game of Go

16 Apr 2017Chang-Shing LeeMei-Hui WangChia-Hsiu KaoSheng-Chi YangYusuke NojimaRyosuke SagaNan ShuoNaoyuki Kubota

In this paper, we present a robotic prediction agent including a darkforest Go engine, a fuzzy markup language (FML) assessment engine, an FML-based decision support engine, and a robot engine for game of Go application. The knowledge base and rule base of FML assessment engine are constructed by referring the information from the darkforest Go engine located in NUTN and OPU, for example, the number of MCTS simulations and winning rate prediction... (read more)

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