The lab’s research draws on a broad range of the methods employed across psychology, philosophy, linguistics, and computer science to better understand questions about how humans think both about the actual world and about non-actual possibilities (sometimes called “possible worlds”). We explore both how people think about possibilities themselves and how that influences the way that they think more generally, from the language they use, to the causal and moral judgments they make.
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Tabular Data - 19.4 KB - 15 Variables, 97 Observations - UNF:6:mrRRI3HOu1vpDA3uUy+52w==
Comma Separated Values - 929.9 KB - MD5: f79451254ed6bd789ab3172875861b47
Tabular Data - 87.8 KB - 58 Variables, 197 Observations - UNF:6:btnRpp0ZhuB93UDcVhBqJA==
Tabular Data - 132.3 KB - 38 Variables, 401 Observations - UNF:6:M0CTVwivXoavLYEldRJP8w==
Tabular Data - 113.6 KB - 31 Variables, 401 Observations - UNF:6:tRPNfMDXs0G7NapNWGq0zA==
Tabular Data - 275.3 KB - 44 Variables, 810 Observations - UNF:6:h1aDqYrO9Gp/qwboQGK6+Q==
Comma Separated Values - 133.7 KB - MD5: 3ecc1843c450c249576cff92604f8d1b
Jul 3, 2024
Phillips, Jonathan, 2024, "Knowledge without Belief", https://doi.org/10.7910/DVN/IT0Z6S, Harvard Dataverse, V2, UNF:6:2PFeyPFa/45wqQ6FK8byug== [fileUNF]
This repository contains the experiment files, data, preprocessing scripts, and analyses used to produce the paper, "Knowledge without belief" by Bryan Gonzalez, Pauline Armary, James Dungan, Brent Strickland, Joshua Knobe, Fiery Cushman, & Jonathan Phillips
Adobe PDF - 5.3 MB - MD5: 8e01043be7fdc5926a8f1a7f667496ef
R Notebook - 154.4 KB - MD5: 4b37788a3570db05e2192aacb736fce0
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