We propose group communication for agent coordination within “active rooms” and other pervasive computing scenarios featuring strict real-time requirements, inherently unrelia...
Paolo Busetta, Mattia Merzi, Silvia Rossi, Fran&cc...
A mere bounded number of random bits judiciously employed by a probabilistically correct algorithmic coordinator is shown to increase the power of learning to coordinate compared ...
John Case, Sanjay Jain, Franco Montagna, Giulia Si...
A programming language which is optimized for modelling multi-agent interaction within articulated social structures such as organizations is described with several examples of it...
Scott Moss, Helen Gaylard, Steve Wallis, Bruce Edm...
A fundamental open problem in computational learning theory is whether there is an attribute efficient learning algorithm for the concept class of decision lists (Rivest, 1987; Bl...
We analyze the output process of finite capacity birth-death Markovian queues. We develop a formula for the asymptotic variance rate of the form + vi where is the rate of outputs...