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Not offered in 2007
This unit will give the students an opportunity to solve some concrete decision-making problems, such as resource allocation and investment planning, using different intelligent reasoning techniques: decision trees; constraint reasoning and refinement search; search by local change, and population-based methods. The objective is to understand the role of intelligent decision support in organisations, paradigms and applications and dealing with uncertain data. The students will be introduced to a high level programming system which they will use to model problems in simple logic and solve them using the different techniques.
Examination 60%
Assignments, class tests and laboratory exercises: 40%
Students must pass the examination in order to pass the unit.
4 hours per week