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題名 Bounded Rationality: Foundations and Varieties in Agent-Based Modelling
作者 陳樹衡
Chen, Shu-Heng
貢獻者 經濟系
關鍵詞 agent-based modelling; equation-based modelling; mirroring principle; evolutionary computation; cellular automata; entropy maximization principle; autonomous agents; modularity principle; zero intelligence
日期 2024-05
上傳時間 9-Jun-2025 10:28:55 (UTC+8)
摘要 This chapter follows the introductory chapter and serves as a fundamental step in agent-based modelling (ABM), focusing on the concept of bounded rationality (BR). As a nonstandard review of this otherwise hoary subject, this chapter argues that bounded rationality is a natural and inherent aspect of ABM, making ABM a sufficient framework to justify the concept. To do so, we distinguish ABM from the conventional equation-based modelling (EBM) and use the mirroring principle to argue that it is easier to have perfect rationality in a bounded model like EBM but not an unbounded model like ABM. The connection between ABM and bounded rationality is illustrated using two canonical kinds of ABM, namely, evolutionary computation and cellular automata. Apart from the mirroring principle, through the introduction of several other key principles, including the modularity principle and the entropy maximization principle, we advocate the idea that bounded rationality, while motivated from multiple perspectives such as behavioural economics, biology, psychology, artificial intelligence, cognitive science, and physics, can be further advanced through ABM. ABM provides a cohesive framework for interdisciplinary discourse among these fields.
關聯 The Oxford Handbook of Agent-based Computational Management Science, Oxford University Press
資料類型 book/chapter
ISBN 9780197668122
DOI https://doi.org/10.1093/oxfordhb/9780197668122.013.2
dc.contributor 經濟系
dc.creator (作者) 陳樹衡
dc.creator (作者) Chen, Shu-Heng
dc.date (日期) 2024-05
dc.date.accessioned 9-Jun-2025 10:28:55 (UTC+8)-
dc.date.available 9-Jun-2025 10:28:55 (UTC+8)-
dc.date.issued (上傳時間) 9-Jun-2025 10:28:55 (UTC+8)-
dc.identifier.isbn (ISBN) 9780197668122
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/157303-
dc.description.abstract (摘要) This chapter follows the introductory chapter and serves as a fundamental step in agent-based modelling (ABM), focusing on the concept of bounded rationality (BR). As a nonstandard review of this otherwise hoary subject, this chapter argues that bounded rationality is a natural and inherent aspect of ABM, making ABM a sufficient framework to justify the concept. To do so, we distinguish ABM from the conventional equation-based modelling (EBM) and use the mirroring principle to argue that it is easier to have perfect rationality in a bounded model like EBM but not an unbounded model like ABM. The connection between ABM and bounded rationality is illustrated using two canonical kinds of ABM, namely, evolutionary computation and cellular automata. Apart from the mirroring principle, through the introduction of several other key principles, including the modularity principle and the entropy maximization principle, we advocate the idea that bounded rationality, while motivated from multiple perspectives such as behavioural economics, biology, psychology, artificial intelligence, cognitive science, and physics, can be further advanced through ABM. ABM provides a cohesive framework for interdisciplinary discourse among these fields.
dc.format.extent 116 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) The Oxford Handbook of Agent-based Computational Management Science, Oxford University Press
dc.subject (關鍵詞) agent-based modelling; equation-based modelling; mirroring principle; evolutionary computation; cellular automata; entropy maximization principle; autonomous agents; modularity principle; zero intelligence
dc.title (題名) Bounded Rationality: Foundations and Varieties in Agent-Based Modelling
dc.type (資料類型) book/chapter
dc.identifier.doi (DOI) 10.1093/oxfordhb/9780197668122.013.2
dc.doi.uri (DOI) https://doi.org/10.1093/oxfordhb/9780197668122.013.2