Fml-Based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
Accepted for publication in International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems in July, 2017 FML-BASED DYNAMIC ASSESSMENT AGENT FOR HUMAN-MACHINE COOPERATIVE SYSTEM ON GAME OF GO CHANG-SHING LEE* MEI-HUI WANG, SHENG-CHI YANG Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan *leecs@mail.nutn.edu.tw, mh.alice.wang@gmail.com, skymini4910@gmail.com PI-HSIA HUNG, SU-WEI LIN Department of Education, National University of Tainan, Tainan, Taiwan hungps@mail.nutn.edu.tw, swlin0214@mail.nutn.edu.tw NAN SHUO, NAOYUKI KUBOTA Dept. of System Design, Tokyo Metropolitan University, Japan shuo-nan@ed.tmu.ac.jp, kubota@tmu.ac.jp CHUN-HSUN CHOU, PING-CHIANG CHOU Haifong Weiqi Academy, Taiwan chouchunhsun@gmail.com, cabon1224@hotmail.com CHIA-HSIU KAO Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan tsubxxx@gmail.com Received (received date) Revised (revised date) Accepted (accepted date) In this paper, we demonstrate the application of Fuzzy Markup Language (FML) to construct an FML- based Dynamic Assessment Agent (FDAA), and we present an FML-based Human–Machine Cooperative System (FHMCS) for the game of Go. The proposed FDAA comprises an intelligent decision-making and learning mechanism, an intelligent game bot, a proximal development agent, and an intelligent agent. The intelligent game bot is based on the open-source code of Facebook’s Darkforest, and it features a representational state transfer application programming interface mechanism. The proximal development agent contains a dynamic assessment mechanism, a GoSocket mechanism, and an FML engine with a fuzzy knowledge base and rule base.
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