We present an application prototype of dynamic knowledge representation programmed in LUPS (a language for updating logic programs). This is a case study to model intelligent agen...
Juan Carlos Acosta Guadarrama, Mauricio Javier Oso...
First-order probabilistic logic is a powerful knowledge representation language. Unfortunately, deductive reasoning based on the standard semantics for this logic does not support...
This paper surveys previous work on combining planning techniques with expressive representations of knowledge in description logics to reason about tasks, plans, and goals. Descr...
We propose a word level, bounded model checking (BMC) algorithm based on translation into the effectively propositional fragment (EPR) of firstorder logic. This approach to BMC al...
Moshe Emmer, Zurab Khasidashvili, Konstantin Korov...
Statistical models for tracking different moving bodies must be able to reason about occlusions in order to be effective. Representing the joint statistics across different bodies...