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Hybrid probabilistic programs framework  is a variation of probabilistic annotated logic programming approach, which allows the user to explicitly encode the available knowledge about the dependency among the events in the program. In this paper, we extend the language of hybrid probabilistic programs by allowing disjunctive composition functions to be associated with heads of clauses and change its semantics to be more suitable for real-life applications. We show on a probabilistic AIdoi:10.1007/s10472-007-9082-1 fatcat:kf7j7dd6gzgj5gvomj34c5v3pe