Last modified: 22 May 2019 17:07
The global autonomous systems market is expected to be valued at over £13 billion by 2025, involving both software systems and robots. Such autonomous systems act to achieve goals with no human intervention, and are already found in Tesla's self-driving cars, NASA space probes and systems such as Amazon's Echo. This course provides the student with a solid grounding in the theory and tools which underpin such systems, teaching them both how to develop such systems, and use them effectively as part of a larger product.
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
|Campus||Old Aberdeen||Sustained Study||No|
This course will present the theory and practice of software agents and multi-agent systems. Lectures will cover core concepts, while practicals will allow students to implement and use these techniques. Example topics covered in this course include agent architectures, reasoning techniques, communication and coordination, and individual and group decision making.
Information on contact teaching time is available from the course guide.
Software and Report (50%); Class Test (50%).
Resit: where a student fails the course overall they will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward).
There are no assessments for this course.
Formative feedback for in-course assessments will be provided in written form. Additionally, formative feedback on performance will be provided informally during practical sessions.