Dear all,

In a special start-of-term bonanza, there will be two CamPoS (Cambridge
Philosophy of Science) seminars this week. All welcome!


FIRST SEMINAR:

Wednesday 15th October 1-2:30pm in the Dept of History and Philosophy of
Science, Seminar Room 2.

Richard Pettigrew (Bristol) will give a talk entitled "Accuracy First
Epistemology". (The abstract is below.)


SECOND SEMINAR (Note unusual Time/Date/Venue)

Thursday 16th October 12:30-2pm in the Dept of History and Philosophy of
Science, Seminar Room 1.

Anjun Chakravartty (Notre Dame) will give a talk entitled "The Realist
Stance". (Abstract to Follow)


Best wishes,

Christopher


Abstract:  An agent’s degrees of belief should satisfy the axioms of
probability. She should update her degrees of belief in the light of new
evidence in line with the Bayesian rule of conditionalization. If she
learns the objective chances, her degrees of belief ought to match them. In
the absence of any evidence, she ought to distribute her degrees of belief
equally over all possibilities. These are norms that govern epistemic
agents when we represent them as having degrees of belief in the
propositions they entertain. What establishes these norms? Pragmatic
arguments have been given for some; evidentialist arguments for others. In
this talk, I want to describe an alternative sort of argument. It begins
with the claim that the sole fundamental virtue of degrees of belief is
their accuracy, or proximity to the truth, and it provides a way of
measuring this accuracy. Finally, it derives the consequences of this
assumption. Amongst those consequences are the four norms just listed.
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