Description
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:
- 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.
- Understand established and emerging methods for providing the primary capabilities of intelligent agents such as their decision-making, problem solving and learning.
- 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 香港六合彩 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.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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