Details of a Researcher - Takahashi, Hiroshi

Papers - Takahashi, Hiroshi

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A Study on Pricing Strategies for Business Hotels based on Agent-Based Simulation

NAKAMURA Atsumi, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( BI-018 ) 10 2021.03

This study examines the effectiveness of pricing strategies in business hotels. Through theanalysis, we will attempt to identify the impact on the lease period and sales of business hotels, and how itchanges with the introduction of policy simulation. In this study, pricing strategy is considered as a policy.Through Agent-Based Simulation, we will match borrower and lender agents and analyze the results ofthe balance between supply and demand, and we will consider pricing strategy in our analysis. We will bemeasured the policy effects from individual strategies, using the framework created by previous studiesthat considered prices. A bottom-up policy evaluation will be conducted, and exploratory studies will beconducted to determine that it is an effective tool.

Toward Persona Generation Support by Log Analysis of Social Simulation

KIKUCHI Takamasa, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( BI-018 ) 04 2021.03

商品設計やサービス提供の領域では，顧客に関する具体的な議論を喚起し，関係者の合意形成を円滑にするため，顧客の仮想人格である「ペルソナ」を作成することが広く行われている．しかし，作成過程において，a)考慮すべき顧客の要素・特性や，b)ペルソナの正当性の担保や優先順位付けに関して，必ずしも明確な指針が存在するわけではない．そこで本研究では，社会シミュレーションのログ分析手法を援用し，ペルソナ作成過程における分析支援手法を検討する．想定される効用は以下の通り：社会シミュレーションの各種分析手法を援用することで，1)想定する結果に影響を与える要素・特性を明確化しうること，2)注目すべきペルソナを同定しうること．

Analysis of the Relation between Retail Rent and the Pedestrian Data from GPS of Mobile Phone - A Case Study of the Shimokitazawa Station-

OTA Akira, TAKAHASHI Hiroshi, KANEDA Toshiyuki

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( BI-017 ) 11 2021.01

The location is important for the real estate management business, but it is difficult to bequantified. As a case study of the Shimokitazawa station, the correlation analysis of retail rent was examinedwith building and location measures. The location measures include KDDI's pedestrian data in each samplepoint from GPS of mobile phone because the recent IT development has enabled us to get pedestrian dataeasily. The result showed positive correlation between retail rent and the pedestrian data can be seen.

A Study on Determining Factors of Amount of Gas Used in Japan

HEO Myeongseok, MURAKAMI Eiji, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( BI-017 ) 08 2021.01

Gas and electric power are one of the essential social infrastructure for social and economicactivities. The purpose of this research is to construct a gas' consumption model suitable for thedistribution and sales market of LP gas in Japan by utilizing temperature. As a method of predictingdemand, we would like to first create a model of power consumption and then apply it to LP gas. Analysisof customers' electric power and gas consumption can infer from what standpoint they were consumingpublic goods. Through this, we would like to offer users' reasonable prices to expand their choices andcontribute to the efficient use of social resources.

Analysis of domain strategies of pharmaceutical companies using patent documents

YONEMURA Takashi, MATSUMOTO Yusuke, SUGE Aiko, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( BI-017 ) 02 2021.01

本研究は製薬企業が保有する特許が企業業績にどのような影響を与えているかを、特許の抄録集を抽出しベクトル表現を獲得することで企業の技術距離を年次的に算出、その関連性を分析している。日本の社会保障の構造上、製薬企業は「長期収載品に依存するモデルから、より高い創薬力を持つ産業構造に転換」に迫られている。製薬企業にとって、特許は莫大な研究開発費用の投資による結果であり、これを分析することで企業の技術戦略の方向性を窺い知れる可能性がある。分析の結果、技術的多角化は(1)企業のファンダメンタルに負の影響を与える可能性が示唆された。(2) 株式市場に負の影響を与える可能性を示せた。以上の結果は技術的進歩を常に追い求める製薬企業の企業経営にとって重要な示唆を与える。

Construction and Analysis of News Evaluation Model for Automobile Manufacturers Using Summarization and Similarity

NOYA Jun, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( BI-017 ) 06 2021.01

株式市場の変動は様々な要因によって引き起こされる．とりわけ，ニュースは最も一般的な情報源であり，投資家にとって重要な役割を果たしている．本研究では，ニュースのサプライズに注目して分析を行った．分析の手法として，過去のニュース記事を要約し，次期に発表されたニュースと比較することによってアーニングサプライズを株価の説明モデルに組み込んだ．要約文章生成には PEGASUS，分類モデルの構築にはランダムフォレストを採用した．

An Analysis of the Relationship between Managerial Appearance and Corporate Behavior

FUKASAWA Ayumi, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( BI-017 ) 04 2021.01

There are also many studies that suggest that the characteristics of managers, such as theirbackground, orientation, and age, have some influence on the performance and behavior of companies. Inthis paper, we analyze the relationship between managerial face and corporate behavior, especially R&Dinvestment, after focusing on face as one of the important components of appearance. We classified the facetypes of managers into several patterns and analyzed the impact of these types on corporate behavior.as aresult, it was confirmed that managers classified in one cluster tend to invest more actively in R&D thanthose classified in the other clusters.

Policy Simulation for Retirement Planning Based on Clusters Generated from Questionnaire Data

高橋大志

Smart Innovation, Systems and Technologies (Smart Innovation, Systems and Technologies) 241 285 - 298 2021

ISSN 9789811629938

In Japan, there is significant interest in life planning for generations before and after retirement, and various policy simulations are being conducted. However, there is room to improve the diversity and representativeness of individual attributes in conventional simulations. Thus, in this paper, we set up a possible person cluster by categorizing the asset status and investment status of the generation before and after retirement using individual questionnaire data. We also discuss computer simulations related to asset formation and withdrawal based on those clusters, and we examine measures to be taken to avoid asset depletion.

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The Verify of Maritime market prediction by Baltic Dry Index

YOSHIDA Mitsuhiro, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( 19 ) 2021

バルチック海運指数(Baltic Dry Index)は，鉄鋼、石炭、穀物などの原料を運ぶ国際的な海上運賃の指標で、将来の世界的な経済活動や海運関連株価を予測する上で注目されるといわれている指標である。本研究では、1985年1月4日以降の時系列の日次数値データを活用し、同指数の中期予測可能性の検証のための基礎分析を実施した。市況産業である開運会社にとって、市況を読み間違えることは多大な損失に直結し、中長期予測の有効性が確認されれば、海運会社の採用できるヘッジ手法の選択肢の拡大、ヘッジ精度の向上など、その意義は大きいと考える。

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A Study on Stock Market Reaction to Information Security Incidents: An Analysis of Japanese and Chinese Stock Markets

ZHAO Jiansen, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( 19 ) 2021

本研究では，情報セキュリティ事故に関連するニュースが，企業の株式価格へ与える影響について分析を行った．分析対象は，上場企業とし，ロイターニュースにより市場参加者へのアナウンスが行われたニュースを対象とした．ニュースの分析においては，金融分野のテキスト分析に焦点をあてたFinBERTを用いた．本研究において、イベントスタディによる手法を用い、複数の期間において、株式価格への影響について比較、分析を行った。

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Social Simulation and Management Strategy: Research on the institutional design considering the mobility of human resources

MORIMATSU Kazuya, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( 19 ) 2021

無形資産のみで売上を構成するものとした場合、企業は人材の獲得ならびに能力開発により能力を蓄え、各市場への配分の仕方において、その成果の違いが表れるだろう。その際、意思決定者は、ビジョンを元に行動の指針となる制度を設計する必要があるが、制度は通例に基づいて設計されることが多く、また、この制度設計の手法やその効果について定量的な観点からみた研究は少ないため、研究が望まれている。そこで、本研究は、産業と企業行動をエージェントベースモデルを通じてモデル化し、人材の流動性を鑑みた制度設計を通じて、優秀な業績を上げるために重要な意思決定の解明を目指す。

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Knowledge Extraction from Social Simulation Logs Using Experience Mapping Methods

KIKUCHI Takamasa, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( 19 ) 2021

社会シミュレーションの出力結果・ログからのナレッジ抽出については，様々な方法論が提案されている．当該分析手法は，モデルの開発者や分析者のみならず，その他ステークホルダーの間での認識共有・統一のために重要である．本発表では，社会シミュレーションの結果の分析及び形式的記述のために，デザイン思考の分野で用いられているエクスペリエンスマッピング手法を援用することを試みる．

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Policy Simulation on Retirement PlanningConsidering Individual Attributes

KIKUCHI Takamasa, TAKAHASHI Hiroshi

Journal of the Japan Society for Management Information (The Japan Society for Managemant Information) 30 ( 2 ) 105 - 119 2021

ISSN 0918-7324

The problem of asset formation and withdrawal after retirement in Japan is increasingly gaining interest with societal aging and longevity. However, asset depletion-related issues, including measures to prevent them, are underexplored. In this paper, we approach Japan's current asset formation and withdrawal after retirement through simulation analysis using actual data. We analyze the impact of various asset depletion measures in exogenous scenarios based on individual attributes and risk asset investment. The main results are as follows. 1) Asset depletion rate varies between asset classes, risk amounts, and expected lives. 2) Asset depletion rate does not decrease monotonically as the asset class rises. 3) Taking risks according to individual attributes is necessary to reduce asset depletion rate. 4) If asset depletion rate increases due to reduced public pension benefit level, the increase can be suppressed to a certain extent by raising the retirement age or curbing spending.

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Analysis of the reaction of the Japanese stock market by the tendency of past news transmission and news sentiments

YOON Sungjae, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( 19 ) 2021

本研究では、日本の株式市場を対象とし、ニュースデータと高頻度データを用い、過去のニュース発信傾向及びニュースのセンチメントによる出来高の反応を分析した。ニュースの分類は、ファイナンス分野の分析に提案された分析手法であるFinBERTモデルを用いた。詳細の分析は過去のニュース発信の傾向を取り入れて各ニュースのセンチメントに対する出来高の反応を評価した。分析の結果、平均的に過去のニュースの発信傾向がポジティブの情報とネガティブの情報が混在しているときがポジティブの情報とネガティブの情報のいずれかに傾いているときより、ニュースに対する出来高の反応が大きいことが分かった。この結果は、日本株式市場の市場動向の分析に貢献する興味深い結果です。

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Artificial Intelligence and Transdisciplinary Science and Technology

高橋大志, 津本周作, 堤富士雄, 松尾豊, 栗原聡, 北川源四郎, 椹木哲夫, 林勲

Oukan (Journal of Transdisciplinary Federation of Science and Technology) (Transdisciplinary Federation of Science and Technology) 14 ( 2 ) 100 - 112 2021

Joint Work, ISSN 1881-7610

Constructing a Decision-Making System Using Patent Document Analysis

Yonemura T., Matsumoto Y., Suge A., Takahashi H.

Smart Innovation, Systems and Technologies (Smart Innovation, Systems and Technologies) 241 275 - 283 2021

ISSN 9789811629938

In this study, we propose a new system to support corporate decision-making using patent documents. For R&D-oriented pharmaceutical companies, the creation of new drugs is indispensable for survival, and patents, the source of R&D, are an important factor in the creation of new drugs. In this study, we attempted to clarify the quantification of technical information in pharmaceutical companies by vectorizing the patent database DWPI using Sparse Composite Document Vectors (SCDV) for pharmaceutical companies in Japan. As a result of the analysis, we found the possibility of considering the strategy of pharmaceutical companies by visualizing patent documents.

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An Exploratory Study on Policy Evaluation of Tourism by Using Agent-Based Model

Nakamura A., Takahashi H.

Smart Innovation, Systems and Technologies (Smart Innovation, Systems and Technologies) 241 231 - 241 2021

ISSN 9789811629938

This study examines the effectiveness of pricing strategies in business hotels. Through the analysis, we will attempt to identify the impact on the lease period and sales of business hotels, and how it changes with the introduction of policy simulation. In this study, pricing strategy is considered as a policy. Through Agent-Based Simulation, we will match borrower and lender agents and analyze the results of the balance between supply and demand, and we will consider pricing strategy in our analysis. We will measure the policy effects from individual strategies, using the framework created by previous studies that considered prices. A bottom-up policy evaluation will be conducted, and exploratory studies will be conducted to determine that it is an effective tool.

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A Study of the Impact of Crypto Assets on Portfolio Risk-Return Characteristics Before and After COVID-19 Outbreak (2014–2020)

Liu M., Jotaki H., Takahashi H.

Smart Innovation, Systems and Technologies (Smart Innovation, Systems and Technologies) 241 243 - 254 2021

ISSN 9789811629938

Following the COVID-19 outbreak, unlike the plunge in traditional mainstream assets, crypto assets have performed very well. Indices that reflect changes in the crypto assets market have also grown in recent years. However, in terms of cryptocurrency index-related studies, there are not many, and the period analyzed is mostly three years. This study analyzes historical data from July 2014 to April 2020 based on the cryptocurrency index CRIX and six other traditional mainstream assets to verify the impact of crypto assets on traditional portfolios. By using the DCC-GARCH model, this study finds out the low dynamic correlation between the crypto assets and traditional ones. Furtherly, by using the mean–variance model, Cornish-Fisher expansion and T-copula CVaR approach to check the frontier line and portfolio performance, this study finds out that crypto assets have the potential to improve the risk-return characteristics of traditional portfolios.

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A Customer Experience Mapping Model for Business Case Description of Innovation and Value Co-creation

高橋大志

Smart Innovation, Systems and Technologies (Smart Innovation, Systems and Technologies) 241 255 - 264 2021

ISSN 9789811629938

We propose a mapping model for describing transition processes of customer experiences in business innovation cases. Named as System Experience Boundaries Map (SEBM), this mapping model mainly focuses on boundaries that constrain the customer latent experiences. SEBM also represents a customer-side process of business innovation as a resolution of those restrictions. Used with the Managerial Decision-Making Description Model previously presented, SEBM describes value co-creation processes between firms and customers, which involve user innovation in actual business cases. We are going to apply SEBM for log-analysis in business gaming facilitation.

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Analysis of the reaction of the Japanese stock market by the tendency of past news transmission and news sentiments

YOON Sungjae, TAKAHASHI Hiroshi

JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence) 2021 ( 19 ) 2021

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