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...
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Preferences and uncertainty occur in many real-life problems. The theory of possibility is one way of dealing with uncertainty, which allows for easy integration with fuzzy prefer...
We present the design and implementation of a Minesweeper game, augmented with a digital assistant. The assistant uses contraint programming techniques to help the player, and is a...
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...