Highlights
Learning Outcomes
At the completion of the module, the student is expected to be able to:
1. Analyse and model complex systems.
2. Design and develop software for the control of complex systems.
3. Evaluate complex systems with respect to speed, accuracy and other factors applicable to the problems being focussed on.
4. To demonstrate an awareness of the issues involved in controlling emerging autonomous technologies, robots and other devices.
Introduction and Assignment Overview
Complexity science is the scientific study of complex systems. These are systems with many parts that interact to produce global behaviour. These systems cannot easily be explained in terms of interactions between the individual elements. Complex systems are dynamic, unpredictable and have many elements. They exhibit emergent behaviour (rather than prescriptive behaviour) that is not easy to predict.
Complex systems can be found almost everywhere, examples include:
The Internet (not individual computer system).
In this module, you will explore and model complex systems. You will learn how to simulate (e.g., program) complex systems and research the topic in terms of artificial intelligence and emerging autonomous technologies.The module assignment involves a portfolio of work to be individually completed. The portfolio comprises of two tasks and provides overall evidence of your development in the area of complex systems. The portfolio should include an application and a research report. Please see the assignment specification below for more details. The purpose of the assignment is to allow students to explore automated agents, software simulation of complex syste
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