There are numerous applications where we have to deal with temporal uncertainty associated with events. The Temporal Probabilistic (TP) Logic Pro-grams should provide support for valid-time indetermi-nacy of events, by proposing the concept of an inde-terminate instant, that is, an interval of time-points (event’s time-window) with an associated, lower and upper, probability distribution. In particular, we pro-pose the new semantics, for the TP Logic Programs of Dekhtyar and Subrahmanian. Our semantics, based on the possible world semantics is a generalization of the possible world semantics for (non temporal) Probabilis-tic Logic Programming, and we define the new syntax for PT-programs, with time variable explicitly repre-sented in all at...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
In this paper we show the embedding of Hybrid Probabilistic Logic Programs into the rather general f...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
The temporal propositional logic of linear time is generalized to an uncertain world, in which rando...
We present two (closely-related) propositional probabilistic temporal logics based on temporal logic...
Abstract. The Temporal Probabilistic (TP) Database management systems should provide support for val...
The temporal propositional logic of linear time is generalized to an uncertain world, in which rando...
Abstract. Two approaches to logic programming with probabilities emerged over time: bayesian reasoni...
In this paper, we propose Probabilistic discrete-time Projection Temporal Logic (PrPTL), which exten...
Probabilistic logic programming is a powerful technique to represent and reason with imprecise proba...
This papers develops a logical language for representing probabilistic causal laws. Our interest ...
We study causal information about probabilistic processes, i.e., information about why events occur....
This papers develops a logical language for representing probabilistic causal laws. Our interest in ...
Abstract Invited TalkProbabilistic logic programs combine the power of a programming language with a...
We present a new approach to probabilistic logic programs with a possible worlds semantics. Classica...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
In this paper we show the embedding of Hybrid Probabilistic Logic Programs into the rather general f...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
The temporal propositional logic of linear time is generalized to an uncertain world, in which rando...
We present two (closely-related) propositional probabilistic temporal logics based on temporal logic...
Abstract. The Temporal Probabilistic (TP) Database management systems should provide support for val...
The temporal propositional logic of linear time is generalized to an uncertain world, in which rando...
Abstract. Two approaches to logic programming with probabilities emerged over time: bayesian reasoni...
In this paper, we propose Probabilistic discrete-time Projection Temporal Logic (PrPTL), which exten...
Probabilistic logic programming is a powerful technique to represent and reason with imprecise proba...
This papers develops a logical language for representing probabilistic causal laws. Our interest ...
We study causal information about probabilistic processes, i.e., information about why events occur....
This papers develops a logical language for representing probabilistic causal laws. Our interest in ...
Abstract Invited TalkProbabilistic logic programs combine the power of a programming language with a...
We present a new approach to probabilistic logic programs with a possible worlds semantics. Classica...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
In this paper we show the embedding of Hybrid Probabilistic Logic Programs into the rather general f...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...