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Model Building and Description Using the Agent-based Computational Economics Framework for Accounting
https://ipsj.ixsq.nii.ac.jp/records/231839
https://ipsj.ixsq.nii.ac.jp/records/231839096d4813-1846-4ac3-b0e8-905d16413d39
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-JNL6501007.pdf (1.3 MB)
2026年1月15日からダウンロード可能です。
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Copyright (c) 2024 by the Information Processing Society of Japan
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| 非会員：¥0, IPSJ:学会員：¥0, 論文誌:会員：¥0, DLIB:会員：¥0 | ||
| Item type | Journal(1) | |||||||||
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| 公開日 | 2024-01-15 | |||||||||
| タイトル | ||||||||||
| タイトル | Model Building and Description Using the Agent-based Computational Economics Framework for Accounting | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | Model Building and Description Using the Agent-based Computational Economics Framework for Accounting | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | [特集:エージェント理論・技術とその応用] agent-based computational economics, artificial economics, accounting-related framework, modeling framework | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| 著者所属 | ||||||||||
| Nagaoka University | ||||||||||
| 著者所属 | ||||||||||
| Kogakuin University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Nagaoka University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Kogakuin University | ||||||||||
| 著者名 |
Kosei, Takashima
× Kosei, Takashima
× Isao, Yagi
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| 著者名(英) |
Kosei, Takashima
× Kosei, Takashima
× Isao, Yagi
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Agent-based computational economics has been attracting attention as a method in recent years; however, its model structures tend to become complex due to the coexistence of systems for decision-making and those involved in financial transactions. This means that a large amount of effort is required at each stage of the research. This study uses accounting-related concepts to develop a framework that extends bookkeeping notation and functionality to express the relationships between monetary entities in the model, which improves the working efficiency of Agent-based computational economics research. A case study of actual model construction is presented. The introduction of accounting-related systems can enable the separation of decision-making interaction systems from those involved in financial transactions to clearly express without misinterpretation, and “who performs what actions to whom and how such actions affect the state variables of each entity.” This improves the effectiveness of the model design, programming, and simulation phases and enables descriptions that are less likely to be misinterpreted by the reader when the results are published. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.32(2024) (online) DOI http://dx.doi.org/10.2197/ipsjjip.32.10 ------------------------------ |
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| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Agent-based computational economics has been attracting attention as a method in recent years; however, its model structures tend to become complex due to the coexistence of systems for decision-making and those involved in financial transactions. This means that a large amount of effort is required at each stage of the research. This study uses accounting-related concepts to develop a framework that extends bookkeeping notation and functionality to express the relationships between monetary entities in the model, which improves the working efficiency of Agent-based computational economics research. A case study of actual model construction is presented. The introduction of accounting-related systems can enable the separation of decision-making interaction systems from those involved in financial transactions to clearly express without misinterpretation, and “who performs what actions to whom and how such actions affect the state variables of each entity.” This improves the effectiveness of the model design, programming, and simulation phases and enables descriptions that are less likely to be misinterpreted by the reader when the results are published. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.32(2024) (online) DOI http://dx.doi.org/10.2197/ipsjjip.32.10 ------------------------------ |
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| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00116647 | |||||||||
| 書誌情報 |
情報処理学会論文誌 巻 65, 号 1, 発行日 2024-01-15 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1882-7764 | |||||||||
| 公開者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
