Artificial Intelligence is the area of computing concerned with getting computers to perform tasks that usually require human intelligence.

The main focus of this module is that knowledge (as distinct from data and information) provides the basis for the behaviour of many intelligent systems, both natural and artificial.

The module concentrates on the structures and knowledge representation techniques used to design intelligent systems.

Different architectures are examined for building intelligent systems as well as the issues involved in developing multi-agent worlds.

Additionally, the module investigates techniques and principles behind designing and building robotic agents to sense, plan and act on their environment.

The fascinating area of machine learning is also examined in this module, with emphasis in the areas of evolutionary learning and artificial life.

On successful completion of this module, the student will be able to

• Create a small scale AI system that can solve problems, plan sequences of actions or play games.
• Discuss the design issues involved in the production of real knowledge representational schemes and justify the semantics and inference mechanisms that form them.
• Recommend appropriate methods in developing intelligent agents for multi agent systems and comment on issues that make such developments a non-trivial task.
• Demonstrate how to program a simple robotic agent to act upon its environment.

Assessment will be by one three hour written examination.

This module requires a pre-requisite of either Visual Programming 2, C++ Programming 2 or Java Programming 2.

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