FIT3226 · Monash University
Agentic and distributed AI: Multi-agent systems, swarms and artificial life
- Credit points
- 6
- Level
- 3
- Workload
- —
- Faculty
- Information Technology
What it covers
This unit explores artificial intelligence arising from interactions between autonomous intelligent agents. You will examine three perspectives: agentic AI, where agents are designed top-down with defined roles yet make independent decisions; multi-agent systems, where agents coordinate, negotiate, and sometimes compete while planning and acting toward goals; and emergent and artificial life approaches, where simple, locally specified interactions produce complex, often unpredictable global behaviour. Grounded in systems-thinking and complex adaptive systems, the unit highlights decentralisation, feedback, adaptation, and unintended outcomes. You will design and develop agentic and multi-agent AI systems capable of reasoning, planning, and multi-step action in dynamic environments, while analysing emergent behaviour, conflict, robustness, and the implications of distributed intelligence in AI systems.
Assessment
Assessment not published yet.
When and where
Not offered in 2027, or offerings not published yet.