Graded Reinstatement in Belief Revision
Abstract
An important issue in belief revision is the possible
loss of previous information which later might turn to be
correct when new information becomes available to the agent.
Starting from the fuzzy argument labeling based on trust, we
mirror argument reinstatement in belief reinstatement, and
we show the conditions under which the belief reinstatement
is total, partial, or nonexistent.
Domains
Artificial Intelligence [cs.AI]
Origin : Files produced by the author(s)
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