Difference between revisions of "Chia-Hsiu Kao"

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(Created page with "'''Home * People * Chia-Hsiu Kao''' FILE:ChiaHsiuKao.jpg|border|right|thumb| Chia-Hsiu Kao <ref>[https://sites.google.com/site/nutnoaselab/research-team/c...")
 
 
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[https://en.wikipedia.org/wiki/Intelligent_agent prediction agent] and its application to [[Go]].
 
[https://en.wikipedia.org/wiki/Intelligent_agent prediction agent] and its application to [[Go]].
  
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=FML-based Prediction=
 
Abtract from ''FML-based Prediction Agent and Its Application to Game of Go'' <ref>[[Chang-Shing Lee]], [[Mei-Hui Wang]], [[Chia-Hsiu Kao]], [[Sheng-Chi Yang]], [[Yusuke Nojima]], [[Ryosuke Saga]], [[Nan Shuo]], [[Naoyuki Kubota]] ('''2017'''). ''FML-based Prediction Agent and Its Application to Game of Go''. [https://arxiv.org/abs/1704.04719 arXiv:1704.04719]</ref>:
 
Abtract from ''FML-based Prediction Agent and Its Application to Game of Go'' <ref>[[Chang-Shing Lee]], [[Mei-Hui Wang]], [[Chia-Hsiu Kao]], [[Sheng-Chi Yang]], [[Yusuke Nojima]], [[Ryosuke Saga]], [[Nan Shuo]], [[Naoyuki Kubota]] ('''2017'''). ''FML-based Prediction Agent and Its Application to Game of Go''. [https://arxiv.org/abs/1704.04719 arXiv:1704.04719]</ref>:
 
  In this paper, we present a robotic prediction agent including a [https://en.wikipedia.org/wiki/Darkforest darkforest] [[Go]] engine, a [https://en.wikipedia.org/wiki/Fuzzy_markup_language fuzzy markup language] (FML) assessment engine, an FML-based decision support engine, and a [[Robots|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 [https://en.wikipedia.org/wiki/National_University_of_Tainan NUTN] and [https://en.wikipedia.org/wiki/Osaka_Prefecture_University OPU], for example, the number of [[Monte-Carlo Tree Search|MCTS]] simulations and winning rate prediction. The proposed robotic prediction agent first retrieves the database of Go competition website, and then the FML assessment engine infers the winning possibility based on the information generated by darkforest Go engine. The FML-based decision support engine computes the winning possibility based on the partial game situation inferred by FML assessment engine. Finally, the robot engine combines with the human-friendly robot partner PALRO <ref>[https://palro.jp/en/ PALRO is a robot who cares]</ref>, produced by FujiSoft Incorporated, to report the game situation to human Go players. Experimental results show that the FML-based prediction agent can work effectively.  
 
  In this paper, we present a robotic prediction agent including a [https://en.wikipedia.org/wiki/Darkforest darkforest] [[Go]] engine, a [https://en.wikipedia.org/wiki/Fuzzy_markup_language fuzzy markup language] (FML) assessment engine, an FML-based decision support engine, and a [[Robots|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 [https://en.wikipedia.org/wiki/National_University_of_Tainan NUTN] and [https://en.wikipedia.org/wiki/Osaka_Prefecture_University OPU], for example, the number of [[Monte-Carlo Tree Search|MCTS]] simulations and winning rate prediction. The proposed robotic prediction agent first retrieves the database of Go competition website, and then the FML assessment engine infers the winning possibility based on the information generated by darkforest Go engine. The FML-based decision support engine computes the winning possibility based on the partial game situation inferred by FML assessment engine. Finally, the robot engine combines with the human-friendly robot partner PALRO <ref>[https://palro.jp/en/ PALRO is a robot who cares]</ref>, produced by FujiSoft Incorporated, to report the game situation to human Go players. Experimental results show that the FML-based prediction agent can work effectively.  

Latest revision as of 14:46, 24 October 2019

Home * People * Chia-Hsiu Kao

Chia-Hsiu Kao [1]

Chia-Hsiu Kao,
a Taiwanese computer scientist and electrical engineer. He holds a Master's degree in computer science from National University of Tainan (NUTN) in 2017. He was involved in the implementation of a Fuzzy markup language (FML) based prediction agent and its application to Go.

FML-based Prediction

Abtract from FML-based Prediction Agent and Its Application to Game of Go [2]: 

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. The proposed robotic prediction agent first retrieves the database of Go competition website, and then the FML assessment engine infers the winning possibility based on the information generated by darkforest Go engine. The FML-based decision support engine computes the winning possibility based on the partial game situation inferred by FML assessment engine. Finally, the robot engine combines with the human-friendly robot partner PALRO [3], produced by FujiSoft Incorporated, to report the game situation to human Go players. Experimental results show that the FML-based prediction agent can work effectively.

Selected Publications

[4]

External Links

References

  1. ↑ Chia-Hsiu Kao - NUTN OASE Lab.
  2. ↑ Chang-Shing Lee, Mei-Hui Wang, Chia-Hsiu Kao, Sheng-Chi Yang, Yusuke Nojima, Ryosuke Saga, Nan Shuo, Naoyuki Kubota (2017). FML-based Prediction Agent and Its Application to Game of Go. arXiv:1704.04719
  3. ↑ PALRO is a robot who cares
  4. ↑ dblp: Chia-Hsiu Kao

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