The construction of causal graphs from non-experimental data rests on a set of constraints that the graph structure imposes on all probability distributions compatible with the gr...
This paper presents a multi-agent model to support decisionmaking in organizations. The model is characterized by being interactive, distributed, and incremental and by the use of...
We present a framework for property testing where a partially ordered execution trace of a distributed system is modeled by a collection of communicating automata. We prove that th...
Hesham Hallal, Sergiy Boroday, Andreas Ulrich, Ale...
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...
: In this paper we explain how we have integrated the functionalities of a constraint management system and a temporal data base system to enable a model-based control of systems t...