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Composing Intuitive Theories Across Domains and in Real Time
Composing Intuitive Theories Across Domains and in Real Time
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103559
- ISBN
- 9798280719927
- DDC
- 153
- 서명/저자
- Composing Intuitive Theories Across Domains and in Real Time
- 발행사항
- [Sl] : Harvard University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 136 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisor: Ullman, Tomer;Gershman, Samuel.
- 학위논문주기
- Thesis (Ph.D.)--Harvard University, 2025.
- 초록/해제
- 요약This dissertation investigates the computational mechanisms that enable people to flexibly and efficiently reason about the world. Building on the framework of intuitive theories as generative programs, I address two fundamental questions about cognitive architecture: (1) how do distinct intuitive theories communicate with each other, and (2) how can these theories be executed efficiently? Using intuitive physics as a primary case study, I present three empirical investigations and two computational models that contribute to our understanding of these questions. In Chapter 1, I examine how intuitive physics and intuitive psychology interact in moral and causal reasoning. Through computational modeling and behavioral experiments involving visual vignettes of harmful actions, I demonstrate that moral judgments can be modeled as linear combinations of features extracted from both intuitive physics and intuitive psychology. This work provides a computational account of how separate cognitive systems coordinate to solve problems spanning multiple domains.Chapters 2 and 3 investigate a phenomenon I term ``blended reasoning'', wherein people achieve computational efficiency by flexibly combining simulation-based and abstraction-based reasoning strategies in real time. Using novel computational and empirical methods, including eye-tracking, I show that people strategically arbitrate between different reasoning approaches based on observable features of physical reasoning tasks. This blended approach enables rapid physical reasoning at the cost of accuracy.Together, these studies advance our understanding of cognitive architecture by revealing how intuitive theories interact and how computational resources are efficiently allocated during reasoning. The findings suggest that human cognition is characterized not only by rich, structured knowledge representations but also by strategic mechanisms for integrating and deploying this knowledge.
- 일반주제명
- Cognitive psychology
- 일반주제명
- Psychology
- 키워드
- Abstraction
- 키워드
- Moral psychology
- 키워드
- Simulation
- 기타저자
- Harvard University Psychology
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■007cr#unu||||||||
■020 ▼a9798280719927
■035 ▼a(MiAaPQ)AAI32042305
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a153
■1001 ▼aSosa, Felix Anthony.▼0(orcid)0000-0001-5881-6975
■24510▼aComposing Intuitive Theories Across Domains and in Real Time
■260 ▼a[Sl]▼bHarvard University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a136 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisor: Ullman, Tomer;Gershman, Samuel.
■5021 ▼aThesis (Ph.D.)--Harvard University, 2025.
■520 ▼aThis dissertation investigates the computational mechanisms that enable people to flexibly and efficiently reason about the world. Building on the framework of intuitive theories as generative programs, I address two fundamental questions about cognitive architecture: (1) how do distinct intuitive theories communicate with each other, and (2) how can these theories be executed efficiently? Using intuitive physics as a primary case study, I present three empirical investigations and two computational models that contribute to our understanding of these questions. In Chapter 1, I examine how intuitive physics and intuitive psychology interact in moral and causal reasoning. Through computational modeling and behavioral experiments involving visual vignettes of harmful actions, I demonstrate that moral judgments can be modeled as linear combinations of features extracted from both intuitive physics and intuitive psychology. This work provides a computational account of how separate cognitive systems coordinate to solve problems spanning multiple domains.Chapters 2 and 3 investigate a phenomenon I term ``blended reasoning'', wherein people achieve computational efficiency by flexibly combining simulation-based and abstraction-based reasoning strategies in real time. Using novel computational and empirical methods, including eye-tracking, I show that people strategically arbitrate between different reasoning approaches based on observable features of physical reasoning tasks. This blended approach enables rapid physical reasoning at the cost of accuracy.Together, these studies advance our understanding of cognitive architecture by revealing how intuitive theories interact and how computational resources are efficiently allocated during reasoning. The findings suggest that human cognition is characterized not only by rich, structured knowledge representations but also by strategic mechanisms for integrating and deploying this knowledge.
■590 ▼aSchool code: 0084.
■650 4▼aCognitive psychology
■650 4▼aPsychology
■653 ▼aAbstraction
■653 ▼aIntuitive physics
■653 ▼aIntuitive psychology
■653 ▼aIntuitive theories
■653 ▼aMoral psychology
■653 ▼aSimulation
■690 ▼a0633
■690 ▼a0800
■690 ▼a0621
■71020▼aHarvard University▼bPsychology.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0084
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357779▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
