Abstract— The most widely applied resource allocation strategy is to balance, or equalize, the total workload assigned to each resource. In mobile multi-agent systems, this princ...
Marco Pavone, Alessandro Arsie, Emilio Frazzoli, F...
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
An algorithm that performs asynchronous backtracking on distributed CSPs, with dynamic ordering of agents is proposed, ABT DO. Agents propose reorderings of lower priority agents a...
The nature of computer networks and the manner in which network services are provided are changing dramatically. Network architectures that employ virtual mobile agents to provide...
Vishakh, Nicholas Urrea, Tadashi Nakano, Tatsuya S...
Abstract— The present paper considers distributed consensus algorithms for agents evolving on a connected compact homogeneous (CCH) manifold. The agents track no external referen...