Designing Intelligent Agents

Code School Level Credits Semesters
COMP4125 School of Computer Science 4 20 Spring China
Code
COMP4125
School
School of Computer Science
Level
4
Credits
20
Semesters
Spring China

Summary

You'll be given a basic introduction to the analysis and design of intelligent agents, software systems which perceive their environment and act in that environment in pursuit of their goals. Spending around four hours each week in lectures and tutorials, you'll cover topics including task environments, reactive, deliberative and hybrid architectures for individual agents, and architectures and coordination mechanisms for multi-agent systems.

Target Students

Level 3 and Level 4 students in the School of Computer Science. Level 3 and Level 4 students from the Faculties of Science and Engineering. This module is part of the Artificial Intelligence, Modelling and Optimisation theme in the School of Computer Science.

Classes

Assessment

Assessed by end of spring semester

Educational Aims

To develop a basic understanding of the problems and techniques of building intelligent agents. To give an appreciation of the trade-offs inherent in the design of agent-based systems. To illustrate these through a project involving the construction of simple agent-based systems. To develop new analysis and design skills appropriate to more complex Al problems.

Learning Outcomes

Learning Outcome 1

Knowledge and Understanding

Understanding of the problems and techniques in the design of intelligent agents, knowledge of common agent architectures.

 

Learning Outcome 2

Intellectual Skills

The ability to understand and logically evaluate agents' requirements and specifications.

The ability to analyse agent behaviour in a variety of environments.

 

Learning Outcome 3

Professional Skills:

 

Learning Outcome 4

Enhanced Al programming skills.

 

Learning Outcome 5

Transferable Skills

Enhanced systems analysis and design skills

 

 

 

Conveners

View in Curriculum Catalogue
Last updated 09/01/2025.