In recent years, many researchers have studied stock trading using technical analysis. However, it is necessary to have deep knowledge to use such technical analysis and it is difficult to make a profit using such techniques. Therefore, we construct an evolutionary model to create a profitable investment strategy using technical indicators. We confirmed the effectiveness of our model using historical data of the stock market. We confirmed the effectiveness of our model using historical data of the stock market.

Recently, the Artificial Intelligence based Werewolf Project has been attracting attention. Because, it is important for human-like artificial intelligence research to construct an artificial intelligence for the Werewolf Game which requires abilities to bamboozle and detect a lie. Therefore we construct an artificial intelligence for deducing roles of players in the Werewolf Game using information about conversations among players.

Taking a questionnaire is effective way to model consumer awareness. However hearing a lot of questions is very hard from the point of view of answer accuracy and response rate. One way to solve this problem, we take partial questionnaires that differ among answers and merge some answers so as to contain all answers of questions in the original questionnaire. In this study, we propose a method that is merging the partial answers based on Probabilistic Latent Model. The experimental result shows that the proposed method can create virtual answer data which is similar to original answer data from the viewpoint of latent segments in answer data.

How can companies manage a digital transformation project in order to realize the demonstration experiments with a satisfactory result for everyone in the company? Discussion about digital transformation is more complex than discussion about previous ICT introductions because it is difficult to understand technologies such as AI and IoT, the quality of data. As an academic background, in the context of corporate information system introduction, especially in the context of digital transformation strategy, there are not many researches discussing the organizational activities from a micro-perspective. This research describes the decision-making process in the project from the perspective of Strategy as Practice regarding the introduction of the system applied AI touch rally system conducted by a certain company and AIST in 2019.

In the strategy of shopping complexs, it is important to know customers. In this resarch, we collected the action history of the event held in one of shopping complexs by using ID wristbands. We report the analysis results of the obtained data using PLSA and Bayesian network, and also consider application of this system.

In this paper, issues of data compliance with human behavior history are overviewed and viewpoints how to make clear them are shown in service business using technology with Internet of Things to excavate knowledge in personal data. Unlike laws and regulations, compliance is based on the consensus building between stakeholder mutually related and reasonable systematization is necessary for joint user toward shared data. In order to enables coexistence of utilizing data and protecting privacy of it, it is stated how criteria data is disclosed on requirements of consensus building by stakeholder.

Each year, about 1.35 million people die as a result of traffic accidents in the world. It means almost 3,700 people are killed each day in traffic accidents. In Japan, Aichi Prefecture has the most fatalities by prefecture for 16 years since 2018. Public Organization of Aichi Prefecture has a goal "By 2020, reducing the annual number of traffic fatalities within 24 hours after an accident to no more than 155". This paper is in an early stage to reveal the cause of fatal traffic accidents in Aichi Prefecture. We attempt to get clues for decreasing fatalities and traffic accidents by analyzing traffic accident data that are collected by Aichi Prefectural Police. In addition, we aim to ultimately achieve a society with no traffic accidents in the world.