Artificial Life (819G5)
Artificial Life
Module 819G5
Module details for 2023/24.
15 credits
FHEQ Level 7 (Masters)
Pre-Requisite
The module assumes an ability to write software in one appropriate programming language (e.g. Java, C, Python, Matlab). Basic knowledge of formal computational skills is also assumed.
Module Outline
The aim of this module is to provide an introduction to the field of Artificial Life (ALife). This has a dual role: firstly, taking inspiration from biology for engineering and AI in particular; secondly, using computational tools for testing ideas in biology.
Topics include:
Evolutionary computation
ALife models of biological systems
Dynamical systems analysis of complex systems
Non-symbolic approaches to cognition
Artificial chemistries
Library
No set text. Reading is provided each week (journal and conference articles)
Module learning outcomes
Demonstrate critical awareness of current issues in Artificial Life research.
Programme and apply a genetic algorithm.
Use dynamical systems techniques to analyse a complex system.
Design, complete and critically assess a small but original artificial life research project.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Project | A1 Week 2 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Laboratory | 2 hours | 00001010000 |
| Autumn Semester | Lecture | 2 hours | 11111111111 |
| Autumn Semester | Seminar | 1 hour | 11110101111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Chris Johnson
Assess convenor
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Prof Christopher Buckley
Assess convenor
/profiles/108674
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