| dc.contributor | 國立政治大學心理學系 | en_US |
| dc.contributor | 行政院國家科學委員會 | en_US |
| dc.creator (作者) | 鄭中平 | zh_TW |
| dc.date (日期) | 2009 | en_US |
| dc.date.accessioned | 8-Nov-2012 14:05:26 (UTC+8) | - |
| dc.date.available | 8-Nov-2012 14:05:26 (UTC+8) | - |
| dc.date.issued (上傳時間) | 8-Nov-2012 14:05:26 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/55309 | - |
| dc.description.abstract (摘要) | 愛荷華賭博作業廣泛用在顯示不同群體在決策歷程中的差異，透過以量化的認知模型分析愛荷華賭博作業，由於模型中的參數分別對應愛荷華賭博作業心理歷程的成分，可進一步瞭解不同群體在決策歷程上的可能差異。除了常用的期望價值學習模型外，尚有近十個量化認知模型，企圖模擬愛荷華賭博作業的認知歷程。本研究有三個目的，首先在建立一個通用的架構，儘可能納入這些決策學習模型。其次，透過通用架構進行這些模型的比對，瞭解模型的尺度不變性。最後，本研究擬針對此通用架構發展較具一般性的估計方式，以進行這些模型的參數估計。 | en_US |
| dc.description.abstract (摘要) | Iowa gambling task is a cognitive task designed for exploring the possible decision making deficit. By modeling this task, parameters of the expectancy-valence model may be correspondent to the components of psychological processes underlying the Iowa gambling task. Besides the often-cited expectancy-valence model, there are up to 10 quantitative decision-learning models which also aim to simulate Iowa gambling task. The study consists of three objectives. First, the study will propose a general framework to incorporate most decision-learning models. Second, by comparing these models under the framework, we will explore the dimensional invariance issue. Finally, the study tries to develop a comprehensive statistical routine for most decision-learning models under the framework. | en_US |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | 基礎研究 | en_US |
| dc.relation (關聯) | 學術補助 | en_US |
| dc.relation (關聯) | 研究期間:9808~ 9907 | en_US |
| dc.relation (關聯) | 研究經費:443仟元 | en_US |
| dc.subject (關鍵詞) | 決策學習模型 | en_US |
| dc.title (題名) | 決策學習模型的通用架構---尺度不變性與參數估計 | zh_TW |
| dc.title.alternative (其他題名) | A General Framework for Decision-Learning Models---Dimensional Invariance and Parameter Estimation | en_US |
| dc.type (資料類型) | report | en |
