Global warming, and the climate change it induces, is an urgent global issue. One remedy to this problem, and the focus of this paper, is to motivate sustainable energy usage beha...
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
In this paper we propose the CTS (Concious Tutoring System) technology, a biologically plausible cognitive agent based on human brain functions.This agent is capable of learning a...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
In this paper we present a reference model based on Reference Domain Theory that can work both in interpretation and generation. We introduce a formalization of key concepts of RD...
In this paper 1 , we shall describe about a refined theory based on the concept of set-valued operators, suitable for available operation of extremely complicated large-scale netwo...