10 Credits AUTUMN



Aims/Description: This module provides an introduction to multi-agent systems and agent-based modelling. The module will motivate the many diverse types of complex adaptive system that can be represented and simulated by these approaches (including engineering applications, artificial intelligence and socio-technical systems), and establish a typology of phenomena that typically indicate that such approaches would be useful. We will introduce a set of key theories, methods and tools in the domain of multi-agent systems and agent-based models. Students will gain experience of implementing agent-based simulations in state-of-the-art software (e.g. Repast HPC), building on their experience in C and Java programming. We will also investigate methods for how agent-based models can be tested and validated using empirical data.

Staff Contact: Dr G Panoutsos
Teaching Methods: Lectures, Tutorials, Laboratory work, Independent Study
Assessment: Formal Exam, Course work

Information on the department responsible for this unit (Automatic Control and Systems Engineering):

Departmental Home Page
Teaching timetable

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NOTE
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK