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A Bayesian Approach to Belief Protection” on March 25 – The Brains Blog


The subsequent Neural Mechanisms Online webinar— “Believing Conspiracy Theories: A Bayesian Approach to Belief Protection”—will probably be delivered by Nina Poth & Krys Dolega on Friday the twenty fifth. See beneath for particulars in regards to the free discuss and the way to be a part of.

Embodied simulation and its function in cognition

Nina Poth & Krys Dolega (Ruhr-Universität Bochum)

25 March 2022
h15-17 Greenwhich Mean Time / 16-18 CET
(examine your native time right here)

Join the assembly by way of Webex

(the hyperlink will probably be activated 10 minutes earlier than the discuss.)

Abstract. Despite the dangerous influence of conspiracy theories on the general public discourse, there’s little settlement about their actual nature. Rather than outline conspiracy theories as such, we focus on the notion of conspiracy perception. We analyse three latest proposals that establish perception in conspiracy theories as an impact of irrational reasoning. Although these views are generally introduced as competing alternate options, they share the primary dedication that conspiracy beliefs are epistemically flawed as a result of they resist revision given disconfirming proof. However, the three views presently lack the formal element vital for an satisfactory comparability. In this paper, we convey these views nearer collectively by exploring the rationality of conspiracy perception underneath a probabilistic framework. By utilising Michael Strevens’ Bayesian therapy of auxiliary hypotheses, we query the declare that the irrationality related to conspiracy perception is due to a failure of perception revision given disconfirming proof. We argue that sustaining a core conspiracy perception may be completely Bayes-rational when such beliefs are embedded in networks of auxiliary beliefs, which may be sacrificed to shield the extra central ones. We suggest that the irrationality related to conspiracy perception lies not in a flawed updating methodology in accordance to subjective requirements however in a failure to converge in the direction of well-confirmed secure perception networks in the long term. We focus on a set of preliminary reasoning biases as a attainable purpose for such a failure. Our strategy reconciles beforehand disjointed views, whereas on the similar time providing a proper platform for his or her additional growth.

You can preview the paper right here.

Join the assembly by way of Webex (the hyperlink will probably be activated 10 minutes earlier than the discuss).

Practical data:

Videos of prior talks may be discovered on the Neural Mechanisms YouTube channel.

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