FIT5226 Multi agent systems and collective behaviour
Faculty of Information Technology
FIT5226 Multi agent systems and collective behaviour is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2027 in Semester 1 at Clayton, Malaysia and Suzhou (SEU). It needs FIT9136 and MAT9004.
- Credit points
- 6
- Offered in 2027
- Semester 1
- Clayton, Malaysia, Suzhou (SEU)
- Assessment
- Exam 50%
- and 2 other tasks
- Workload
- 144 hours
- per semester
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Requisites
Before FIT5226
Prerequisites
Pass these before you enrol.
After FIT5226
No unit lists FIT5226 as a prerequisite in the 2027 handbook.
Enrolment rules
Prerequisite knowledge: Basic probability theory and statistics, differentiation and integration, fluency in at least one programming language
Overview
A multi-agent system (MAS) consists of a number of autonomous agents interacting with each other and with their environment. MAS is one of the fastest-growing areas of AI and a very general paradigm to understand many complex natural phenomena, such as the behaviour of ant colonies, fish swarms and human groups. Conversely, MAS approaches are crucial in the design of some of the most cutting-edge AI and cyber-physical systems, such as swarm robots. Hybrid cyber-physical systems, in which natural and artificial agents interact, represent the third important form of MAS. The internet, where millions of humans and computational agents interact in intricate and complex ways, is the paradigmatic example of such a hybrid.
This highly interdisciplinary unit discusses the most important methods to describe, analyse and design MAS and discusses their practical applications in scientific modelling and artificial intelligence.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Flexible |
| First semester | Malaysia | On campus |
| First semester | Suzhou (SEU) | On campus |
Assessment
- In-semester Assessment aProject15%
- In-semester Assessment bProject35%
- Scheduled final assessmentExamination50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Judge whether a particular real-world problem or application can usefully be modelled as a MAS
- 2
Select MAS modelling methods suited to the problem
- 3
Apply formal MAS modelling approaches as appropriate
- 4
Implement and deploy MAS models to answer the relevant questions about a given real-world scenario
- 5
Discuss the limitations of the modelling approaches and use multi-model solutions to mitigate or overcome these
Workload and teaching
- Seminars24 hours
- Laboratories22 hours
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Contacts
- Chief Examiners
- Professor Bernd Meyer
- Unit Coordinators
- Dr Asad Malik
Common questions
What are the prerequisites for FIT5226?
You need FIT9136 and MAT9004 before you enrol. Enrolment rules also apply.
When is FIT5226 offered?
In 2027, FIT5226 runs in Semester 1 at Clayton, Malaysia and Suzhou (SEU).
How much work is FIT5226?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT5226 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 2 other tasks.