Tag: consistency engine

As a MAX-SMT solver, Yices is the main component of the probabilistic consistency engine used in SRI’s CALO system. [PDF] Machine Reading Using Markov Logic Networks for Collective Probabilistic Inference [PDF] from sri. the system by applying probabilistic inference to the syntactic information, using an MLN capturing the domain-specific rules. Integrating multiple learning components through Markov logic [PDF] from aaaipress. We use the Probabilistic Consistency Engine (PCE) (Owre & Shankar, 2009) tool for MLN inference, in which the specification of this MLN would look like: # Declarations. 07161 Abstracts Collection–Probabilistic, Logical and Relational Learning-A Further Synthesis} [PDF] from dagstuhl. What is PCE? PCE stands for Probabilistic Consistency Engine It is used for probabilistic inference with Markov Logic as a formal framework PCE can infer the marginal probabilities of formulas based on facts and rules.