學術產出-專書/專書篇章
文章檢視/開啟
書目匯出
-
題名 Computational evolutionary economics: minimal principle and minimum intelligence 作者 陳樹衡
Chen, Shu-Heng貢獻者 經濟系 日期 2023-11 上傳時間 9-六月-2025 10:28:57 (UTC+8) 摘要 Agent-based computational economics (ACE) has been long considered a computational companion to evolutionary economics (EE) or simply computational EE; its main connection to EE is its extensive incorporation of the idea of evolution, adaptation, learning, autonomy, emergence, open end, and adapted complexity. The manifestation of these ideas is frequently facilitated by the use of methods or tools from, inter alia, artificial intelligence, mathematical psychology, and cognitive science. In this chapter, we shall argue that ACE can, in effect, be further tightly connected to EE in its adoption of the minimal principle as a general guidance of its model construction. While the minimal principle is often interpreted synonymously with the simplicity principle or the maximum entropy principle, this chapter distinguishes the pursuits of these principles and argues that only the minimal principle has a root in Darwinian evolution. We expound on this point by using the current practice of minimal intelligence in ACE as a concrete illustration. The nutshell of this chapter is, therefore, that as a computational EE, the minimum principle should precede others. 關聯 Routledge Handbook of Evolutionary Economics, Routledge, pp.147-160 資料類型 book/chapter ISBN 9780367025687 DOI https://doi.org/10.4324/9780429398971-13 dc.contributor 經濟系 dc.creator (作者) 陳樹衡 dc.creator (作者) Chen, Shu-Heng dc.date (日期) 2023-11 dc.date.accessioned 9-六月-2025 10:28:57 (UTC+8) - dc.date.available 9-六月-2025 10:28:57 (UTC+8) - dc.date.issued (上傳時間) 9-六月-2025 10:28:57 (UTC+8) - dc.identifier.isbn (ISBN) 9780367025687 dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/157304 - dc.description.abstract (摘要) Agent-based computational economics (ACE) has been long considered a computational companion to evolutionary economics (EE) or simply computational EE; its main connection to EE is its extensive incorporation of the idea of evolution, adaptation, learning, autonomy, emergence, open end, and adapted complexity. The manifestation of these ideas is frequently facilitated by the use of methods or tools from, inter alia, artificial intelligence, mathematical psychology, and cognitive science. In this chapter, we shall argue that ACE can, in effect, be further tightly connected to EE in its adoption of the minimal principle as a general guidance of its model construction. While the minimal principle is often interpreted synonymously with the simplicity principle or the maximum entropy principle, this chapter distinguishes the pursuits of these principles and argues that only the minimal principle has a root in Darwinian evolution. We expound on this point by using the current practice of minimal intelligence in ACE as a concrete illustration. The nutshell of this chapter is, therefore, that as a computational EE, the minimum principle should precede others. dc.format.extent 104 bytes - dc.format.mimetype text/html - dc.relation (關聯) Routledge Handbook of Evolutionary Economics, Routledge, pp.147-160 dc.title (題名) Computational evolutionary economics: minimal principle and minimum intelligence dc.type (資料類型) book/chapter dc.identifier.doi (DOI) 10.4324/9780429398971-13 dc.doi.uri (DOI) https://doi.org/10.4324/9780429398971-13
