Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Answer-set programming (ASP) is an emerging logic-programming paradigm that strictly separates the description of a problem from its solving methods. Despite its semantic elegance,...
We study peer-to-peer ðP2PÞ data integration, where each peer models an autonomous system that exports data in terms of its own schema, and data interoperation is achieved by me...
Diego Calvanese, Giuseppe De Giacomo, Domenico Lem...
Abstract. We describe a cryptographically sound formal logic for proving protocol security properties without explicitly reasoning about probability, asymptotic complexity, or the ...
Anupam Datta, Ante Derek, John C. Mitchell, Vitaly...
Abstract. In this paper we consider a logic programming framework for reasoning about imprecise probabilities. In particular, we propose a new semantics, for the Probabilistic Logi...