Distributed Possibilistic Learning in Multi-Agent Systems

Jonathan Lawry, Michael Crosscombe, David Harvey

Possibility theory is proposed as an uncertainty representation framework for distributed learning in multi-agent systems and robot swarms. In particular, we investigate its applic…