자료유형  

 학위논문

Control Number  

0016933523

International Standard Book Number  

9798379962180

Dewey Decimal Classification Number  

150

Main Entry-Personal Name  

Rogers, Bradley W. .

Publication, Distribution, etc. (Imprint  

[S.l.] : Indiana University., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(159 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-01, Section: B.

General Note  

Advisor: Goldstone, Robert L. ;Todd, Peter M. .

Dissertation Note  

Thesis (Ph.D.)--Indiana University, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약People use the range of their knowledge to help make decisions in new situations and to solve novel problems, often drawing from the breadth of their experience. So, what is it that makes the past relevant to the present? What credibility should the new afford to the old? It seems to depend on the degree of correspondence between the two.Mappings are thought to play a fundamental role in numerous cognitive processes including recognition, similarity, category, analogy, and even use of symbols. A mapping is a set of generic correspondences between representations that help us match up things we care about to the things we know about. There is evidence that mappings between representations are themselves kept as representations. Numerous computational approaches and models have been developed to construct mappings and perform cognitive tasks. There is now even a mathematical formalism proposed to describe mappings. But despite these efforts, there remains to be put forth a defensible normative account of why a set of generic correspondences between two representations ought to be trusted.In this dissertation, I propose an answer to the question "Why trust a mapping?" based on the initial reasoning put forth by J.S. Mill in 1882: a mapping can be trusted when the degree of alignment between representations is too great to chalk down to mere chance. In other words, with great enough observed alignment between representations, we ought to be surprised if certain inferences were to fail. I develop two Bayesian models that instantiate this idea of rational mappings, and I apply them to several tasks including evaluating mappings of a partially revealed state as well as foraging to establish and validate mappings. I also present those tasks as experiments to people and compare their responses to the rational results. Additionally, I discuss the role of mappings, the existing models that use them, the purpose of rational analysis, and the implications of a normative approach to mappings.

Subject Added Entry-Topical Term  

Psychology.

Subject Added Entry-Topical Term  

Neurosciences.

Index Term-Uncontrolled  

Analogy

Index Term-Uncontrolled  

Mapping

Index Term-Uncontrolled  

Rational

Index Term-Uncontrolled  

Bayesian models

Index Term-Uncontrolled  

Novel problems

Added Entry-Corporate Name  

Indiana University Psychological & Brain Sciences

Host Item Entry  

Dissertations Abstracts International. 85-01B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:640469