Complex software systems typically involve features like time, concurrency and probability, where probabilistic computations play an increasing role. It is challenging to formaliz...
Huibiao Zhu, Shengchao Qin, Jifeng He, Jonathan P....
There are numerous applications where we have to deal with temporal uncertainty associated with events. The Temporal Probabilistic (TP) Logic Programs should provide support for v...
In this paper, we continue to explore many-valued disjunctive logic programs with probabilistic semantics. In particular, we newly introduce the least model state semantics for suc...
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...