Philosophy of Science 82 (5):956-968 (2015)

Justin Bruner
University of Arizona
In recent years the social nature of scientific inquiry has generated considerable interest. We examine the effect of an epistemically impure agent on a community of honest truth seekers. Extending a formal model of network epistemology pioneered by Zollman, we conclude that an intransigently biased agent prevents the community from ever converging to the truth. We explore two solutions to this problem, including a novel procedure for endogenous network formation in which agents choose whom to trust. We contend that our model nicely captures aspects of current problems in medical research and gesture at some morals for medical epistemology more generally
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1086/683344
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 71,410
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

View all 6 references / Add more references

Citations of this work BETA

Robustness and Idealizations in Agent-Based Models of Scientific Interaction.Daniel Frey & Dunja Šešelja - 2020 - British Journal for the Philosophy of Science 71 (4):1411-1437.
Experimentation by Industrial Selection.Bennett Holman & Justin Bruner - 2017 - Philosophy of Science 84 (5):1008-1019.

View all 41 citations / Add more citations

Similar books and articles

Complementarity of Behavioral Biases.Toru Suzuki - 2012 - Theory and Decision 72 (3):413-430.


Added to PP index

Total views
31 ( #370,958 of 2,519,852 )

Recent downloads (6 months)
4 ( #166,836 of 2,519,852 )

How can I increase my downloads?


My notes