Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...
Gerardo I. Simari, John P. Dickerson, V. S. Subrah...
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
In Alternating-time Temporal Logic (atl), one can express statements about the strategic ability of an agent (or a coalition of agents) to achieve a goal φ such as: “agent i ca...
We investigate the discrete (finite) case of the Popper-Renyi theory of conditional probability, introducing discrete conditional probabilistic models for (multi-agent) knowledge...
The size of the Web and its increase rate made it cumbersome to locate high precision results to a requested piece of information. The Semantic Web provides a framework and a set ...