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.
Multi-Agent Systems
Learning Goals
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
Curriculum Industry
TAF Type
Curriculum Health
TAF Type
Curriculum Economy
TAF Type
SSD
ECTS
Semester
Lecturers
Tatjana Petrov
Tommaso Padoan