TY  - INPR
ID  - orchid4
UR  - http://www.orchid.ac.uk/eprints/4/
A1  - Pryymak, Oleksandr
A1  - Rogers, Alex
A1  - Jennings, Nicholas R
Y1  - 2011///
N2  - In large decentralised teams agents often share uncertain
and conflicting information across the network,
and it is a major challenge for team members
to reach accurate conclusions individually. Previously,
this problem was approached by introducing
a communication overhead in order to reason
about the accuracy of information or to reach agreements
interactively. We address the more challenging
problem of improving the accuracy in settings
where communication is strictly limited to sharing
opinions about the real state of the common subject
of interest. We do so by presenting a novel
decentralised algorithm, AAT, which reaches the
settings of emergent behaviour in a team where
agents? opinions becomes dramatically more accurate.
We show that our solution significantly outperforms
the existing algorithm, DACOR, and delivers
an accuracy of opinions close to a team pretuned
for the highest performance by empirical exploration
of its parameters. Moreover, in contrast
to the message-passing DACOR, our algorithm has
a minimal communication requirement, where only
opinions are shared, as well as significantly lower
computational expenses. Finally, AAT delivers a
high accuracy of opinions in settings where up to
half of the team does not participate in optimising
sharing parameters.
TI  - Efficient Sharing of Conflicting Opinions with Minimal Communication
in Large Decentralised Teams
AV  - public
M2  - Barcelona, Spain
T2  - Workshop on Link Analysis in Heterogeneous Information Networks (IJCAI-11)
ER  -