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A Cognitive Analysis of Learning, Teaching, and Collaborating- [electronic resource]
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A Cognitive Analysis of Learning, Teaching, and Collaborating- [electronic resource]
자료유형  
 학위논문
Control Number  
0016934694
International Standard Book Number  
9798380622639
Dewey Decimal Classification Number  
616
Main Entry-Personal Name  
Osborn Popp, Pamela J.
Publication, Distribution, etc. (Imprint  
[S.l.] : New York University., 2023
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2023
Physical Description  
1 online resource(119 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
General Note  
Advisor: Gureckis, Todd.
Dissertation Note  
Thesis (Ph.D.)--New York University, 2023.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약Adaptive behavior requires learning and making decisions based on the reward structure of the environment. However, this process captures only one of the forces that shape behavior. A less studied element is how, in order to induce certain behavior from others, humans often construct environments that will guide agents to the desired behavior. This process requires understanding and predicting the behavior of other agents as one considers the motivations, status, and abilities of an agent whose behavior they aim to influence. For instance, a teacher considers their student's knowledge, capacity, and desires when constructing a curriculum. This dissertation explores how people interact with reinforcing environments as well as how they construct them, as the two are inevitably linked. By applying reinforcement learning models to the planning behavior of constructing reinforcing environments, we shed light on a realm of decision making that is often overlooked. In Chapter 1, we explore intuitive teaching in a task where participants balance gathering and providing information and are rewarded for the learner's efficiency. Chapter 2 tests whether financial rewards are adequate to evoke effective learning in a complex task requiring insight and scientific thinking. Finally, Chapter 3 explores how people help each other in a two-player task where one's decisions impact their partner's rewards in addition to their own. Understanding more about how humans construct and encounter rewarding environments has applications for human-machine interaction, education, and experiment design. Humans are not only learners and actors; they are simultaneously agents that pursue the learning and action of others as well.
Subject Added Entry-Topical Term  
Neurosciences.
Subject Added Entry-Topical Term  
Cognitive psychology.
Subject Added Entry-Topical Term  
Psychology.
Index Term-Uncontrolled  
Cognition
Index Term-Uncontrolled  
Decision making
Index Term-Uncontrolled  
Human behavior
Index Term-Uncontrolled  
Reinforcement learning
Added Entry-Corporate Name  
New York University Center for Neural Science
Host Item Entry  
Dissertations Abstracts International. 85-04B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:644039
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