PFML-based Semantic BCI Agent for Game of Go Learning and Prediction

10 Jan 2019Chang-Shing LeeMei-Hui WangLi-Wei KoBo-Yu TsaiYi-Lin TsaiSheng-Chi YangLu-An LinYi-Hsiu LeeHirofumi OhashiNaoyuki KubotaNan Shuo

This paper presents a semantic brain computer interface (BCI) agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for Go learning and prediction applications. Additionally, we also establish an Open Go Darkforest (OGD) cloud platform with Facebook AI research (FAIR) open source Darkforest and ELF OpenGo AI bots... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Evaluation Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.