Introductory description

This module will introduce the foundational concepts in artificial intelligence and knowledge-based systems.
This module is only available to students in the second year of their degree and is not available as an unusual option to students in other years of study.

Module aims

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

1. Introduction
2. Rational Agents
3. Agent Architectures and Hierarchical Control
4. Uninformed Search
5. Informed Search
6. Constraint Satisfaction Problems
7. Local Search
8. Adversarial Search
9. Planning
10. Knowledge Representation
11. Bayesian Al
12. Reinforcement Learning
13. Deliberative and Reactive Architectures
14. Agent Cooperation

Learning outcomes

By the end of the module, students should be able to:

• - Develop an appreciation for Knowledge Based Systems, Intelligent Agents and their architectures
• - Understand a wide variety of knowledge representation and artificial intelligence approaches to planning
• - Understand various methods for search (uninformed and informed), planning and reinforcement learning
• - Understand various methods for representing and reasoning under uncertainty.

Indicative reading list

Please see Talis Aspire link for most up to date list.

View reading list on Talis Aspire

Subject specific skills

 develop an appreciation for Knowledge Based Systems, Intelligent Agents and their architectures,
 understand a wide variety of knowledge representation and artificial intelligence approaches to planning,
 understand various methods for search (uninformed and informed), planning and reinforcement learning, and
 understand various methods for representing and reasoning under uncertainty.

Transferable skills

Programming
Communication skills (written)
Problem solving
Critical thinking