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 2022 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2022
- Semester 2
- Clayton
- Workload
- 12 hours
- per semester
This is the 2022 handbook entry. See the 2027 entry.
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Requisites
Before FIT5226
No prerequisites or corequisites besides the enrolment rules below.
After FIT5226
No unit lists FIT5226 as a prerequisite in the 2022 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 2022
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
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
- Lectures24 hours
- Laboratories24 hours
Minimum total expected workload equals 12 hours per week comprising:
(a.) Contact hours for on-campus students:
- Two hours lectures
- Two hours laboratories
(b.) Additional requirements (all students):
- A minimum of 8 hours of personal study per week in order to satisfy the reading, laboratory and assignment expectations.
Contacts
- Chief Examiners
- Dr Julian Gutierrez
- Professor Bernd Meyer
Common questions
What are the prerequisites for FIT5226?
FIT5226 has no prerequisites, but enrolment rules apply.
When is FIT5226 offered?
In 2022, FIT5226 runs in Semester 2 at Clayton.
How much work is FIT5226?
The handbook expects about 12 hours of study across the semester. No students have rated its difficulty yet.