We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding socie...
In this work, we explore how local interactions can simplify the process of decision-making in multiagent systems, particularly in multirobot problems. We review a recent decision-...
Demand responsive transport services are systems that assign users’ specific transport requests to different vehicles enabled to fulfill the required service. In order to contai...
In recent years, electric utility industry in the whole world has been facing pressure to be deregulated or restructured in order to increase its efficiency, to reduce operational...