Abstract. Constraints and preferences are ubiquitous in real-life. Moreover, preferences can be of many kinds: qualitative, quantitative, conditional, positive or negative, to name...
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
Temporal Constraint Satisfaction Problems allow for reasoning with events happening over time. Their expressiveness has been extended independently in two directions: to account f...
Neil Yorke-Smith, Kristen Brent Venable, Francesca...
We address the problem of reasoning with instances of heterogeneously formalized ontologies. Given a set of semantic mappings, reconciling conceptual and instance level heterogenei...
We describe here a framework dedicated to studies and experimentations upon the nature of the relationships between the rational reasoning process of an artificial agent and its ps...