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| Title | Neuroeconomics: A viewpoint from agent-based computational economics |
| Creator | Chen, Shu Heng;Wang, Shu G. 陳樹衡;王卓脩 |
| Contributor | 經濟系 |
| Date | 2010 |
| Date Issued | 29-Jun-2015 18:03:58 (UTC+8) |
| Summary | Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can interest agentbased 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. © 2011, IGI Global. |
| Relation | Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization |
| Type | book/chapter |
| DOI | http://dx.doi.org/10.4018/978-1-60566-898-7.ch003 |
| dc.contributor | 經濟系 | - |
| dc.creator (作者) | Chen, Shu Heng;Wang, Shu G. | - |
| dc.creator (作者) | 陳樹衡;王卓脩 | - |
| dc.date (日期) | 2010 | - |
| dc.date.accessioned | 29-Jun-2015 18:03:58 (UTC+8) | - |
| dc.date.available | 29-Jun-2015 18:03:58 (UTC+8) | - |
| dc.date.issued (上傳時間) | 29-Jun-2015 18:03:58 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/76143 | - |
| dc.description.abstract (摘要) | Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can interest agentbased 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. © 2011, IGI Global. | - |
| dc.relation (關聯) | Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization | - |
| dc.title (題名) | Neuroeconomics: A viewpoint from agent-based computational economics | - |
| dc.type (資料類型) | book/chapter | en |
| dc.identifier.doi (DOI) | 10.4018/978-1-60566-898-7.ch003 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.4018/978-1-60566-898-7.ch003 | en_US |