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91267 - Multi-Agent Systems

Academic Year 2022/2023

                
                        Docente:
                        Andrea Omicini
                    
                        Credits:
                        6
                    
                        SSD:
                        ING-INF/05
                    
                        Language:
                        English
                    
                        Moduli:
                        
                            Andrea Omicini
                            (Modulo 1)
                        
                            Roberta Calegari
                            (Modulo 2)
                        
                        Teaching Mode:
                        
                                    Traditional lectures (Modulo 1)
                                
                                    Traditional lectures (Modulo 2)
                                
                            Campus:
                            Bologna
                        
                            Corso:
                            Second cycle degree programme (LM) in
                            Artificial Intelligence (cod. 9063)

                            Teaching resources on Virtuale

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

Jason, ASTRA, CArtAgO

- Agreement technologies

Semantics; Norms; Organisations & Institutions; Argumentation & Negotiation; Trust & Reputation
Coordination Models & Technologies; Linda & TuCSoN

- Agent-oriented Software Engineering

GAIA & SODA

- Other contents

Simulation and MAS; NetLogo, Alchemist
Self-organisation, Swarm intelligence and MAS
Logics for MAS

Readings/Bibliography

The bibliography is made available through the course web site.

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.

Teaching tools

Links to further information

http://apice.unibo.it/xwiki/bin/view/Courses/Series/Mas2223

Office hours

See the website of Andrea Omicini

See the website of Roberta Calegari

SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.