As robots become more involved in assisting us in large and hazardous operations, such as search and rescue, we can anticipate that diverse robots will come together with the need...
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
The goal of this paper is to present a computational framework that enables us to generate elementary speech act sequences in a dialogue between an electronic assistant and a compu...
Abstract— This paper introduces the Collective Neuro Evolution (CONE) method, and compares its efficacy for designing specialization, with a conventional Neuro-Evolution (NE) me...