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A Fundamental Study of a Computer Player Giving Fun to the Opponent

Journal of Computer and Communications 2018年第1期6卷 32-41页

作者： Yuki Takaoka Takashi Kawakami ryosuke ooe The Graduate School of Engineering Hokkaido University of Science Sapporo Japan Computer Science Hokkaido University of Science Sapporo Japan

In this research, we aim to create a computer player that gives fun to the opponent. Research on game AI has spread widely in recent years, and many games are being studied. Some of those studies have made remarkable results. Game research is aimed at strengthening computer players. However, it is unknown whether a computer player who is too strong is good. There may also be opponents who think that a computer player is not interesting if it is too strong. Therefore, we thought whether we could create a computer player who entertains the opponent while maintaining a certain degree of strength. To realize this idea, we use the Monte Carlo Tree Search. We tried to create a computer player that gives fun to the opponent by improving the Monte Carlo Tree Search. As a result of some experiments, we succeeded in giving fun, although it was a first step. On the other hand, many problems were found through experiments. In future, it is necessary to solve these problems.

关键词： Giving Fun Imperfect Information Game UCB Applied to Tree

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A Study on Estimating the Elements of Card Game Fun Using Biological Information

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Journal of Computer and Communications 2019年第12期7卷 129-135页

作者： Yuki Takaoka Takashi Kawakami ryosuke ooe The Graduate School of Engineering Hokkaido University of Science Sapporo Japan Computer Science Hokkaido University of Science Sapporo Japan

In this study, we conduct research to estimate the elements of fun in card games. Previously, we tried to estimate the elements of fun by conducting a questionnaire to players, but the results were not good. Therefore, we propose an analysis using the player’s biological information to make a more accurate estimation. Specifically, we try to elucidate the elements of fun by having a player who is playing a game wear a smart watch, and measuring and analyzing the heart rate of that player. This paper conducts an experiment to determine whether our intended data can be collected. As a result, it was found that there is a response to the heart rate in a specific scene, and there is a possibility that the intended data can be collected. We plan to conduct larger experiments in the future.

关键词： Definition of Fun Biological Information Game AI

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An Acoustic Events Recognition for Robotic Systems Based on a Deep Learning Method

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Journal of Computer and Communications 2015年第11期3卷 46-51页

作者： Tadaaki Niwa Takashi Kawakami ryosuke ooe Tamotsu Mitamura Masahiro Kinoshita Masaaki Wajima Graduate School of Engineering Hokkaido University of Science Sapporo Japan Faculty of Engineering Hokkaido University of Science Sapporo Japan Faculty of Future Design Hokkaido University of Science Sapporo Japan

In this paper, we provide a new approach to classify and recognize the acoustic events for multiple autonomous robots systems based on the deep learning mechanisms. For disaster response robotic systems, recognizing certain acoustic events in the noisy environment is very effective to perform a given operation. As a new approach, trained deep learning networks which are constructed by RBMs, classify the acoustic events from input waveform signals. From the experimental results, usefulness of our approach is discussed and verified.

关键词： Acoustic Events Recognition Deep Learning Restricted Boltzmann Machine

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