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Mathematical Modeling of Human Learning and Decision Making.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mathematical Modeling of Human Learning and Decision Making./
作者:
Xia, Liyu.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
115 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:
Dissertations Abstracts International83-02B.
標題:
Applied mathematics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28494828
ISBN:
9798535564128
Mathematical Modeling of Human Learning and Decision Making.
Xia, Liyu.
Mathematical Modeling of Human Learning and Decision Making.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 115 p.
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Thesis (Ph.D.)--University of California, Berkeley, 2021.
This item must not be sold to any third party vendors.
Reinforcement learning (RL) has been widely used to study and model human, animal and artificial intelligence. In this thesis, we focus on modeling human learning and decision making, and exemplify two ways mathematical RL modeling can add to our existing knowledge of human cognition: (1) provide a quantitative tool for parametrizing individual differences in human behavior, and (2) augment existing models to account for complex multi-step human learning.
ISBN: 9798535564128Subjects--Topical Terms:
2122814
Applied mathematics.
Subjects--Index Terms:
Development
Mathematical Modeling of Human Learning and Decision Making.
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