We propose a formalism to model and reason about multi-agent systems. We allow agents to interact and communicate in different modes so that they can pursue joint tasks; agents may dynamically synchronize, exchange data, adapt their behaviour, and reconfigure their communication interfaces. The formalism defines a local behaviour based on shared variables and a global one based on message passing. We extend LTL to be able to reason explicitly about the intentions of the different agents and their interaction protocols. We also study the complexity of satisfiability and model-checking of this extension.
2020, , Pages 7-15
Reconfigurable Interaction for MAS Modelling (04b Atto di convegno in volume)
Abd Alrahman Yehia, Perelli Giuseppe, Piterman Nir
Gruppo di ricerca: Artificial Intelligence and Knowledge Representation