The purpose of this paper is to present the syntax and semantics of probabilistic logic programming to al-low for the correct representation of incomplete information. General logic programming is extended by a subint...The purpose of this paper is to present the syntax and semantics of probabilistic logic programming to al-low for the correct representation of incomplete information. General logic programming is extended by a subintervalof [0,1] that describes the range for the conditional probability of the head of a clause given the range for the proba-bility of each atom of its body. We define the semantics (answer sets semantics) of such probabilistic logic program-ming and illustrative their applications. We also show some properties of answer sets semantics for the probabilisticlogic programs.展开更多
基金supported by ERC project“Epistemic Utility Theory:Foundations and Applications”(No.ERC-2012-StG_20111124)the DFG project“Knowledge and Decision”(No.315078566)financial support received from the Major Program of National Social Science Foundation of China(No.23&ZD240)。
文摘The purpose of this paper is to present the syntax and semantics of probabilistic logic programming to al-low for the correct representation of incomplete information. General logic programming is extended by a subintervalof [0,1] that describes the range for the conditional probability of the head of a clause given the range for the proba-bility of each atom of its body. We define the semantics (answer sets semantics) of such probabilistic logic program-ming and illustrative their applications. We also show some properties of answer sets semantics for the probabilisticlogic programs.