structure of the course
child courses
related courses
pages
forums
learning outcomes
At the end of the course, the student understands the conceptual and technical foundation of multi-agent systems, and is able to model complex computational and socio-technical systems in terms of agent-oriented abstractions; build complex computational and socio-technical systems using agent-oriented technologies and methodologies; design and engineer intelligent systems as multi-agent systems, by integrating techniques and methods from artificial intelligence in an effective and methodologically-sound way.
course contents
- Autonomy in natural and artificial systems
- Agent-oriented middleware for (intellligent) distributed systems
- ACL & Protocols; FIPA; JADE
- Models for intelligent agents and MAS
- Game Theory; Intentional agents, BDI; A&A
- Technologies for intelligent agents and MAS
- Agreement technologies
- Semantics; Norms; Organisations & Institutions; Argumentation & Negotiation; Trust & Reputation
- Coordination Models & Technologies; Linda & TuCSoN
- Agent-oriented Software Engineering
- Other contents
- Simulation and MAS; NetLogo, Alchemist
- Self-organisation, Swarm intelligence and MAS
- Logics for MAS
teaching methods
- Lessons with slides
- Examples discussed and built by the teacher and by experts from the field
- Lab activity
assessment methods
The assessment of the learning achievements is based on the development of an individual/group project, which results in the production of suitable artefacts, either documental or software.
The final test consists in the oral discussion of the project.
Final evaluation depends on the level and extent of the project, the quality of the document and software artefacts produced, and the degree of knowledge on the course's subjects demonstrated in the final discussion.
course series
works as
parent course
related course
Multi-Agent Systems 2023/2024 •