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Ryan Muldoon

Researcher at University at Buffalo

Publications -  30
Citations -  826

Ryan Muldoon is an academic researcher from University at Buffalo. The author has contributed to research in topics: Harm principle & Norm (social). The author has an hindex of 12, co-authored 27 publications receiving 715 citations. Previous affiliations of Ryan Muldoon include University of Pennsylvania & University of Western Ontario.

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Epistemic Landscapes and the Division of Cognitive Labor

TL;DR: The authors presented an agent-based model of scientific research in which scientists divide their labor to explore an unknown epistemic landscape, and found that pure populations of these scientists do less well than scientists acting independently.
Book

Social Contract Theory for a Diverse World: Beyond Tolerance

Ryan Muldoon
TL;DR: Muldoon as mentioned in this paper develops a new moral stance that author Ryan Muldoon calls, "The View From Everywhere," which allows for substantive, fundamental moral disagreement, which is used to develop a bargaining model in which agents can cooperate despite seeing different perspectives.
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Trustworthiness is a social norm, but trusting is not:

TL;DR: This article found that most people would not punish untrusting investors, regardless of whether the potential trustee was a stranger or a friend, and that most participants behaved as though being trustworthy is a norm.
Journal ArticleDOI

Diversity and the Division of Cognitive Labor

Ryan Muldoon
- 01 Feb 2013 - 
TL;DR: This paper explored several different models of the division of cognitive labor, with particular focus on Kitcher, Strevens, Weisberg and Muldoon, and Zollman, and examined the benefits and burdens of diversity in interdisicplinary science.
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Disagreement behind the veil of ignorance

TL;DR: The authors argue that there is a kind of moral disagreement that survives the Rawlsian veil of ignorance, and they consider formal frameworks for exploring these differences in structure between interested and disinterested disagreement, and argue that consensus models offer us a solution concept for disagreements behind the Veil of ignorance.