When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conicts in the behavior of agents can make the execution of interacti...
Abstract. When dealing with real systems, it is unrealistic to suppose that observations can be totally ordered according to their emission dates. The partially ordered observation...
Alban Grastien, Marie-Odile Cordier, Christine Lar...
Abstract. In this paper, we study the operational semantics of agent communication languages.We develop a basic multi-agent programming language for systems of concurrently operati...
Rogier M. van Eijk, Frank S. de Boer, Wiebe van de...
Machine learning systems are deployed in many adversarial conditions like intrusion detection, where a classifier has to decide whether a sequence of actions come from a legitimat...
Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Sri...
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...