The Algorithmic Decision Theory group is
developing computational tools
to support decision making. This involves multi-disciplinary
research on the boundaries of optimisation, preferences,
social choice, game theory, multi-agent systems, and machine learning.
Our research is driven by several transformative factors:
the web (which is creating many new and exciting business models),
big data (which is transforming the way we can optimise many
environmental and financial pressures (which are forcing us
to look for more optimal solutions).
Current projects include: representing and reasoning with
preferences, computational social choice, fair division,
game theoretic issues in distributed optimisation, and
the intersection of machine learning and optimisation.
This research group
is primarily based at the
However, we also bring together members of
group as well as researchers from the University
of New South Wales, Harvard University,
the University of Toronto, and Universitšt Rostock.
We welcome visitors, both
short and long term. Please contact
Toby Walsh if you wish to vist as we can often provide support.