Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/65394


Title: Neuroeconomics: A Viewpoint from Agent-Based Computational Economics
Authors: Chen, Shu-Heng;Wang, Shu G.
陳樹衡
Contributors: 經濟系
Date: 2011
Issue Date: 2014-04-15 16:27:56 (UTC+8)
Abstract: Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can interest agent-based economists when they are inquiring for the foundation or the principle of the software-agent design, normally known as agent engineering. It has been shown in many studies that the design of software agents is non-trivial and can determine what will emerge from the bottom. Therefore, it has been quested for rather a period regarding whether we can sensibly design these software agents, including both the choice of software agent models, such as reinforcement learning, and the parameter setting associated with the chosen model, such as risk attitude. In this chapter, we shall start a formal inquiry by focusing on examining the models and parameters used to build software agents.
Relation: Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization, Chapter 3, pp.35-49
EISBN13: 9781605668994
Data Type: book/chapter
Appears in Collections:[經濟學系] 專書/專書篇章

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