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Aims:

To introduce primary theoretical constructs in the field of intelligent systems and to examine significant methods illustrating those constructs, together with examples of their application.

Intended learning outcomes:

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

1. Understand foundational theories in artificial intelligence including: the structural dimensions of intelligent agents in relation to the capabilities they achieve in different environments, and听the differences between symbolic and sub-symbolic agent architectures.
2. Understand established and emerging methods for providing the primary capabilities of intelligent agents such as their decision-making, problem solving and learning.
3. Understand the technical challenges involved in modelling and building intelligent systems for different application settings.

Indicative content:

The following are indicative of the topics the module will typically cover:

• Systems and intelligence.
• Agents.
• Agent architectures.
• Problem solving.
• Knowledge representation.
• Decision-making.
• Learning.
• Sensing, acting and communicating.

Requisites:

To be eligible to select this module as optional or elective, a student must: 鈥�(1) be registered on a programme and year of study for which it is a formally available; (2) have A level Maths (or equivalent); and (2) have English Language at the 麻豆传媒视频网站 鈥淪tandard鈥� level.

Students wishing to take this IEP Minor must complete a short take-home test which will assess programming and other relevant knowledge.