The handling of user preferences is becoming an increasingly important issue in present-day information systems. Among others, preferences are used for information filtering and ex...
Component-based middleware frameworks that support distributed agent societies have proven to be very useful in a variety of domains. Such frameworks must include support for both ...
John A. Zinky, Richard Shapiro, Sarah Siracuse, To...
In this paper, we present an overview to programming with proofs in the reasoning framework, Beluga. Beluga supports the specification of formal systems given by axioms and inferen...
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
We introduce the new paradigm of High-Level Non-Monotonic reasoning (HLNM). This paradigm is the consolidation of our recent results on disjunctions, sets, explicit and implicit ne...
Mauricio Osorio, Juan Carlos Nieves, Fernando Zaca...