Visual method of operation action in intelligent planning system

Abstract

The invention provides a visual method of operation action in an intelligent planning system. The method comprises an obtaining step aiming at the operation action of the intelligent planning system and obtaining a source code thereof which comprises an operation action name part, a constraint condition part and an effect part, a first analysis step analyzing the operation action name part and generating a operation action name view, a second analysis step analyzing the constraint condition part and generating a constraint condition view, a third analysis step analyzing the effect part and generating an effect view and a composing step composing the operation action name view, the constraint condition view and the effect view and generating the whole view of the operation action. The invention is applied to create and maintain a KB quickly and conveniently.

Description

technical field [0001] The invention relates to the technical field of intelligent planning, in particular to a visualization method for operating behavior in an intelligent planning system. Background technique [0002] Intelligent planning (AI Planning) is an important and active branch of artificial intelligence research, which aims to automatically or semi-automatically generate an action sequence that meets the requirements in an intelligent way (called a plan or plan); it is used in transportation and logistics, It has broad application prospects in many fields such as intelligent manufacturing, spacecraft operation, robot motion, construction engineering, and industrial production scheduling. [0003] At present, the development of intelligent planning system software is usually based on a dedicated modeling language, such as ADL (Action Description Language, Action Description Language), PDDL (Planning Domain Definition Language, Planning Domain Definition Language),...

AI Technical Summary

Problems solved by technology

[0004] In order to facilitate the management of the operation behavior model in the knowledge base, after the knowledge base is created, it is necessary to continue to read, modify, expand and maintain the operation behavior model; the traditional method mainly uses a text editor. It is suitable for researchers and system development engineers; however, for technical experts or professional engineers in a specific application field, this method is not vivid and intuitive, especially when the number of models is relatively large and the source code is relatively complicated, various aspects of the operation behavior model Differences in the expression of elements are not easy to be identified quickly, conveniently, and accurately; even if researchers and system development engineers edit the text themselves, it is easy to introduce new errors into the knowledge base, which brings inconvenience to the creation and maintenance of the knowledge base

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