Information Technology Reference
In-Depth Information
Example 4.20 We consider the scenario in Example 4.4. Agent b 's
belief bel b is more accurate than agent a 's belief relation bel a , because
in bel a thereisabeliefofpreference(
, movie)
which is not in agent b 's belief bel b , and this preference is false. Sim-
ilarly, agent a 's belief bel a is also more accurate than agent b 's belief
bel b ,becausein bel b there is a false belief of preference
{
a, b, c
}
, movie)
b (
{
b, c
}
(
{
a, b, c
}
, movie)
a (
{
a, b
}
, movie)
which is not in agent a 's belief bel a . Thisisanexamplethatshows
that the more-accurate-than relation is generally not transitive and not
asymmetric.
Given two arbitrary beliefs bel 1 and bel 2 , it is possible that we
cannot conclude that bel 1 is more accurate than bel 2 , but we cannot
conclude that bel 2 is more accurate than bel 1 , either. A trivial example
of such a case is when all and only those preferences that are correct
are in both bel 1 and bel 2 ,orwhenboth bel 1 and bel 2 are empty. In
these examples, we are unable to find any preference that is in one
of bel 1 and bel 2 but not the other, whether it is correct or incorrect.
Hence, we cannot say that bel 1 is more accurate than bel 2 ,or bel 2 is
more accurate than bel 1 . In general, the same arguments hold for all
cases when bel 1 = bel 2 .
Definition 4.9 (Accuracy Relation of Agents' Private Belief
Profiles) We define the is more accurate than relation of agents'
private belief profiles as follows. Given two belief profiles
B = {bel 1 ,bel 2 ,...,bel n },
B =
bel 1 ,bel 2 ,...,bel n }
{
,
we say B is more accurate than B
if there exists i
N such that
is more accurate than bel i , and either bel j
= bel j
bel i
or bel j
is more
accurate than bel j
for all j
= i .
In short, given two collections of agent beliefs (either from the same
agent or from different agents), we say that one set of agent beliefs is
Search WWH ::




Custom Search