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A Cognitive Analysis of Learning, Teaching, and Collaborating- [electronic resource]
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
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:644039
detalle info
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