MULTI-AGENT SYSTEMS
CSE4MAS
Not currently offered
Credit points: 15
Subject outline
In this unit students will develop advanced knowledge in: what is an agent; typical application areas for agent systems; architectures for agents; design of intelligent agents, multi-agent interactions, cooperation, negotiation, cooperative distributed problem solving (CDPS) and applications of agent systems.
School: School Engineering&Mathematical Sciences
Credit points: 15
Subject Co-ordinator: Andrew Skabar
Available to Study Abroad Students: Yes
Subject year level: Year Level 4 - UG/Hons/1st Yr PG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: CSE1IOO
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | An introduction to multiagent systems | Prescribed | M, Wooldridge. | JOHN WILEY & SONS, 2002 |
Graduate capabilities & intended learning outcomes
01. Understand the concept of intelligent agent systems and explain how agents are distinct from other software paradigms.
- Activities:
- Lectures and labs in week 1 and 2, on introduction and intelligent agents
- Related graduate capabilities and elements:
- Creative Problem-solving(Creative Problem-solving)
- Inquiry/ Research(Inquiry/ Research)
- Critical Thinking(Critical Thinking)
02. Explain the key issues associated with constructing agents capable of intelligent autonomous action, and apply the main approaches taken to developing such agents.
- Activities:
- Lectures and labs in week 3 to 7.
- Related graduate capabilities and elements:
- Creative Problem-solving(Creative Problem-solving)
- Discipline-specific GCs(Discipline-specific GCs)
- Inquiry/ Research(Inquiry/ Research)
- Critical Thinking(Critical Thinking)
03. Implement multiple agent systems that can effectively cooperate in order to solve problems, including the key types of multi-agent interactions possible in such systems.
- Activities:
- Lectures and labs on Agent architecture and multi-agent interaction, communication. Labs on JACK tutorial, assignment project.
- Related graduate capabilities and elements:
- Discipline-specific GCs(Discipline-specific GCs)
- Inquiry/ Research(Inquiry/ Research)
- Critical Thinking(Critical Thinking)
- Creative Problem-solving(Creative Problem-solving)
04. Develop a meaningful agent-based system using a contemporary agent development platform and tools.
- Activities:
- Lectures and labs on Agent application and future trends.
- Related graduate capabilities and elements:
- Creative Problem-solving(Creative Problem-solving)
- Critical Thinking(Critical Thinking)
- Discipline-specific GCs(Discipline-specific GCs)
- Inquiry/ Research(Inquiry/ Research)