Computing

Acquired Intelligence & Adaptive Behaviour

Module code: G6042
Level 5
15 credits in spring semester
Teaching method: Laboratory, Class, Lecture
Assessment modes: Coursework

We take Acquired Intelligence and Adaptive Behaviour (AIAB) as a paradigm (similar to 'Artificial Life' or 'New-wave AI') exemplified by situated, embodied approaches to the study of intelligence and robotics.

Topics covered will include:

• evolutionary (genetic) algorithms
• the study and exploitation of emergence in complex systems
• simulated and real world robotics
• active perception.

AIAB is introduced scientifically and also in terms of practical uses.

Module learning outcomes

• Demonstrate critical awareness of the major issues in Adaptive Behaviour research.
• Programme and apply a genetic algorithm.
• Design and implement a controller for an autonomous robot and analyse it's behaviour.
• Discuss and evaluate the benefits brought by embodiment and active perception.