Probabilistic Quantitative Temporal Constraints:Representing,Reasoning,and Query Answering

作     者：Paolo Terenziani Antonella Andolina 

作者机构：Dipartimento di Scienze e Innovazione TecnologicaUniversity of Eastern PiedmontAlessandria 15121 Istituto Tecnico Commerciale SommeillerTorino 10129 

出 版 物：《Journal of Electronic Science and Technology》 (电子科技学刊（英文版）)

年 卷 期：2018年第16卷第1期

页      面：1-10页

核心收录：

学科分类：070208[理学-无线电物理] 07[理学] 0702[理学-物理学] 

基　　金：partially supported by Istituto Nazionale diAlta Matematica(INdAM) 

主　　题：Artificial intelligence(AI) probabilities query answering quantitative temporal constraints temporal reasoning 

摘      要：In many applications and domains,temporal constraints between actions, and their probabilities play an important role. We propose the first approach in the literature coping with probabilistic quantitative constraints. To achieve such a challenging goal, we extend the widely used simple temporal problem(STP) framework to consider ***,we propose i) a formal representation of probabilistic quantitative constraints, ii) an algorithm,based on the operations of intersection and composition,for the propagation of such temporal constraints, and iii) facilities to support query answering on a set of such constraints. As a result, we provide users with the first homogeneous method supporting the treatment(representing,reasoning,and querying) of probabilistic quantitative constraints, as required by many applications and domains.