COM3524   Bioinspired Computing   (10 credits)

Description

This module focuses on modern artificial intelligence (AI) techniques and their inspiration from biological systems. Examples include evolution, multicellular tissues, neural systems, the immune system and swarms, inspiring abstractions such as evolutionary or swarm-based optimization algorithms, neural computing, as well computational approaches to simulate real world systems, (e.g. cellular automata and agent-based models). Lectures introduce a range of AI and related approaches in the context of their relevant biological inspiration and also their potential application to real word problems. A selection of optimisation and simulation techniques are explored in more depth using Python via active learning in computer laboratories. There is an emphasis on applying the scientific approach to practical work within this module.

Reading List