Acquired Intelligence & Adapt. Behaviour (G6042)
Acquired Intelligence & Adaptive Behaviour
Module G6042
Module details for 2022/23.
15 credits
FHEQ Level 5
Module Outline
We take Acquired Intelligence & 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.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | A2 Week 2 | 85.00% |
| Group Presentation | T2 Week 11 (20 minutes) | 15.00% |
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 |
|---|---|---|---|
| Spring Semester | Laboratory | 2 hours | 00000001111 |
| Spring Semester | Class | 2 hours | 11111110000 |
| Spring Semester | Lecture | 1 hour | 22222222222 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Fernando Rosas
Assess convenor
/profiles/555273
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