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 2023 in Semester 2 at Clayton and Malaysia. It needs MAT9004 and FIT9136.
- Credit points
- 6
- Offered in 2023
- Semester 2
- Clayton, Malaysia
- Assessment
- No exam
- 5 tasks
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2027 entry.
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Requisites
Before FIT5226
Prerequisites
Pass these before you enrol.
After FIT5226
No unit lists FIT5226 as a prerequisite in the 2023 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 2023
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
| Second semester | Malaysia | On campus |
Assessment
- Project Stage 1Project15%
- Project Stage 2Project15%
- Project Stage 3Project35%
- Project ReportReport20%
- Seminar PresentationPresentation15%
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
- Laboratories24 hours
- Seminars24 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
- Unit Coordinators
- Dr Fuad Noman
- Chief Examiners
- Professor Bernd Meyer
Common questions
What are the prerequisites for FIT5226?
You need MAT9004 and FIT9136 before you enrol. Enrolment rules also apply.
When is FIT5226 offered?
In 2023, FIT5226 runs in Semester 2 at Clayton and Malaysia.
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?
No. FIT5226 has 5 assessment tasks and no exam.