%X Knowledge was traditionally held to be justified true belief.
This paper examines the implications of maintaining this view if justication
is interpreted algorithmically. It is argued that if we move sufficiently far
from the small worlds to which Bayesian decision theory properly applies, we
can steer between the rock of fallibilism and the whirlpool of skepticism only
by explicitly building into our framing of the underlying decision problem
the possibility that its attempt to describe the world is inadequate.
%D 2007
%I ESRC Centre for Economic Learning and Social Evolution
%S ELSE Working Papers
%N 265
%T Can knowledge be justified true belief?
%L discovery14434
%A K. Binmore
%C London, UK