Bio-inspired Artificial Intelligence
Nature has found clever solutions for the design of intelligent systems. Chemical networks, cells, brains and societies are able to self-organise to perform seemingly complex tasks. These behaviours result from evolution, development, and learning.
With this course we aim to take inspiration from nature to engineer intelligent systems for real-world applications. Each lecture looks at a biological system and extracts basic principles that can be implemented in reality. Topics covered include neural networks, machine learning, artificial evolution, cellular systems, DNA computing, swarm intelligence, and bio-inspired robotics.