Computing

Acquired Intelligence & Adaptive Behaviour

Module code: G6042
Level 5
15 credits in spring teaching
Teaching method: 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, and 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.