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    題名: Genetic Programming and Agent-Based Computational Economics: From Autonomous Agents to Product Innovation
    作者: 陳樹衡
    Chen,Shu-Heng
    貢獻者: 經濟系
    日期: 2008
    上傳時間: 2014-08-14 12:06:20 (UTC+8)
    摘要: Despite their great development over the last decade, most ACE (agent-based computational economics) models have been generally weak in demonstrating discovery or novelty-generation processes. In this sense, they are not very distinct from their counterparts in neo-classical economics. One way to make progress is to enable autonomous agents to discover the modular structure of their surroundings, and hence they can adapt by using modules. This is almost equivalent to causing their “brain” or “mind” to be designed in a modular way. By this standard, simple genetic programming is not an adequate design for autonomous agents; however, augmenting it with automatic defined terminals (ADTs) may do the job. This paper provides initial research with evidence showing the results of using ADTs to design autonomous agents.
    關聯: Agent-Based Approaches in Economic and Social Complex Systems V , Springer Series on Agent Based Social Systems Volume 6, 2009, pp 3-14
    資料類型: book/chapter
    顯示於類別:[經濟學系] 專書/專書篇章

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