Notions of fairness have recently received increased attention in the context of resource allocation problems, pushed by diverse applications where not only pure utilitarian effic...
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
This paper presents MADeM, a multi-modal agent decision making to provide virtual agents with socially acceptable decisions. We consider multi-modal decisions as those that are ab...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
—This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, na...