Planning is a critical component of any artificial intelligence system that concerns the realization of strategies or action sequences typically for intelligent agents and autonomous robots. Given predefined parameterized actions, a planning service should accept a query with the goal and initial state to give a solution with a sequence of actions applied to environmental objects. This paper addresses the problem by providing a repository of actions generically applicable to various environmental objects based on Semantic Web technologies. Ontologies are used for asserting constraints in common sense as well as for resolving compatibilities between actions and states. Constraints are defined using Web standards such as SPARQL and SHACL to allow conditional predicates. We demonstrate the usefulness of the proposed planning domain description language with our robotics applications.
翻译:规划是任何涉及实现一般智能剂和自主机器人的战略或行动序列的人工情报系统的关键组成部分。根据预先界定的参数化行动,规划部门应接受对目标和初始状态的询问,以对环境物体采取一系列行动提供解决办法;本文件通过提供基于语义网络技术的适用于各种环境物体的通用行动储存库来解决这个问题。本项用于声称常识限制以及解决行动和各州之间的兼容性。通过SPARQL和SHACL等网络标准来界定制约因素,以允许有条件的前提。我们用机器人应用来证明拟议的规划域描述语言的实用性。