Multi-Agent Systems

Learning Goals

The course will provide the student knowledge in the areas of multi-agent systems, in terms of modelling frameworks, simulation, game-theoretical formulation, and analysis of emergent behaviours. Students will learn also how to properly use these tools to solve problems in the context of complex systems and multi-agent system design.

Program in pills

Multi-Agent Systems: modelling frameworks, self-organization, swarm intelligence, intentional agents, game theory. Formal methods for multi-agent system design.

Area

Machine Learning and Artificial Intelligence

Curriculum Foundations
TAF Type

C

Curriculum Industry
TAF Type

Curriculum Health
TAF Type

D

Curriculum Economy
TAF Type

C

SSD

INF/01

ECTS

6

Semester

1

Lecturers

Tatjana Petrov
Tommaso Padoan