Syllabus
Intelligent agents, environment, abstract architectures.
Reactive and planning agents, hybrid architectures.
Reasoning agents, BDI.
Communication, speech acts, ACL.
Ontologies, OWL, KIF.
Distributed problem solving, cooperation.
Multiagent interactions, Nash equilibria, Pareto efficiency.
Resource allocations, auctions, bargaining.
MAS methodologies, Gaia, roles.
MAS environments and languages, JADE.
Annotation
Introductory course presenting basic notions and methods from diverse areas of multiagent systems.