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  1. Centralized Funding and Epistemic Exploration.Shahar Avin - 2017 - British Journal for the Philosophy of Science:axx059.
    Computer simulation of an epistemic landscape model, modified to include explicit representation of a centralized funding body, show the method of funding allocation has significant effects on communal trade-off between exploration and exploitation, with consequences for the community’s ability to generate significant truths. The results show this effect is contextual, and depends on the size of the landscape being explored, with funding that includes explicit random allocation performing significantly better than peer-review on large landscapes. The paper proposes a way of (...)
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  • Centralized Funding and Epistemic Exploration.Shahar Avin - 2019 - British Journal for the Philosophy of Science 70 (3):629-656.
    Computer simulation of an epistemic landscape model, modified to include explicit representation of a centralized funding body, show the method of funding allocation has significant effects on communal trade-off between exploration and exploitation, with consequences for the community’s ability to generate significant truths. The results show this effect is contextual, and depends on the size of the landscape being explored, with funding that includes explicit random allocation performing significantly better than peer review on large landscapes. The article proposes a way (...)
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  • The Evolutionary Dimension of Scientific Progress.Alexander Yu Antonovskiy & Raisa Ed Barash - forthcoming - Social Epistemology.
  • Centralised Funding and the Division of Cognitive Labour.Shahar Avin - unknown
    Project selection by funding bodies directly influences the division of cognitive labour in scientific communities. I present a novel adaptation of an existing agent-based model of scientific research, in which a central funding body selects from proposed projects located on an epistemic landscape. I simulate four different selection strategies: selection based on a god's-eye perspective of project significance, selection based on past success, selection based on past funding, and random selection. Results show the size of the landscape matters: on small (...)
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