Abstract. We present a method to test a group of agents for (unwanted) emergent behavior by using techniques from learning of cooperative behavior. The general idea is to mimick us...
Abstract. Nowadays, engineering studies are characterized by high mobility of students, lecturers and workforce and by the dynamics of multinational companies where "classes&q...
Aldo Bongio, Jan van Bruggen, Stefano Ceri, Valent...
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
We present a general logic of explicit knowledge represented as finite sets of logical formulae which can evolve by nondeterministic reasoning and communication. It is partly bas...
Distributed Constraint Optimization Problems (DCOP) have, for a long time, been considered an important research area for multi-agent systems because a vast number of realworld si...