Computational intelligence creates new opportunities in business.
Below are some of the opportunities demonstrated by the
Business Research and Applications with Computational Intelligence Laboratory (BRACIL).
For more practical applications of computational intelligence, visit the
The Computational Intelligence Centre (CIC)
of which BRACIL is a member.
- Decision Support:
Many decisions are subject to constraints. Constraints add to the complexity of decision making.
However, constraints often gives guidance to how to find solutions.
We specialize in applying constraint satisfaction techniques to decision support.
Guided Local Search is a simple but effective method developed in our laboratory.
- Wind-tunnel testing for market design:
New aeroplanes are subject to wind-tunnel tests before full production.
Why shouldn't business and economic policies go through similar stringent tests?
In BRACIL, we test new markets in
British Telecom's flexible workforce management project
and the card payment market.
- Finding patterns in finance:
EDDIE was developed for forecasting investment and arbitrage opportunities.
A set of tools have been developed for
Chance Discovery project; the
Repository Method
was designed for finding opportunities in highly imbalanced data sets and meeting different risk preferences.
- Finding business strategies:
In complex environments, good strategies could be hard to designed.
Evolutionary computation was used to evolve strategies in
bargaining,
evolving middlemen strategies
and evolving competitive strategies in the card payment market.
