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- W2418060149 abstract "The distribution semantics integrates logic programming and probability theory using a possible worlds approach. Its intuitiveness and simplicity have made it the most widely used semantics for probabilistic logic programming, with successful applications in many domains. When the program has function symbols, the semantics was defined for special cases: either the program has to be definite or the queries must have a finite number of finite explanations. In this paper we show that it is possible to define the semantics for all programs. We also show that this definition coincides with that of Sato and Kameya on positive programs. Moreover, we highlight possible approaches for inference, both exact and approximate. • The paper presents a semantics for probabilistic normal logic programs with function symbols. • This semantics assigns a meaning to all sound programs. • It coincides with Sato & Kameya's definition for definite logic programs. • Examples of programs are presented." @default.
- W2418060149 created "2016-06-24" @default.
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- W2418060149 date "2016-10-01" @default.
- W2418060149 modified "2023-09-29" @default.
- W2418060149 title "The distribution semantics for normal programs with function symbols" @default.
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- W2418060149 doi "https://doi.org/10.1016/j.ijar.2016.05.005" @default.
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