Communicating generalizations : probability, vagueness, and context

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Abstract/Contents

Abstract
Knowledge that extends beyond the present context is crucial to thrive in our open-ended, dynamic world, and generic language (or generics, e.g., "Birds fly", "Mosquitos carry Zika", "Bill smokes") is a simple way to communicate such generalizations to and from one another. Though found in every language and emerging early in development, generic language is philosphically puzzling and has resisted precise formalization. In this thesis, I propose the first formal account of generic language that makes quantitative predictions about human understanding. This formalism is both general enough to explain behavior in multiple dependent measures across diverse domains and precise enough to capture fine-grained, context-sensitive differences in understanding. Having such a unified, computational framework sheds light on the mechanisms by which conceptual knowledge can influence judgments about generics. It also allows us to quantitatively compare the context-sensitivity of interpretation vs. production, clarifying the role of generics in stereotype propagation.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2018; ©2018
Publication date 2018; 2018
Issuance monographic
Language English

Creators/Contributors

Author Tessler, Michael Henry
Degree supervisor Goodman, Noah
Thesis advisor Goodman, Noah
Thesis advisor Frank, Michael C
Thesis advisor Markman, Ellen M
Degree committee member Frank, Michael C
Degree committee member Markman, Ellen M
Associated with Stanford University, Department of Psychology.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Michael Henry Tessler.
Note Submitted to the Department of Psychology.
Thesis Thesis Ph.D. Stanford University 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Michael Henry Tessler
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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