On Semantics of Hierarchical Planning Domain Models with Decomposition Constraints and Empty Methods

被引：0

作者：

Ondrckova, Simona ^{[1
]}

Bartak, Roman ^{[1
]}

机构：

[1] Charles Univ Prague, Fac Math & Phys, Prague, Czech Republic

来源：

2023 IEEE 35TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAI | 2023年

基金：

欧盟地平线“2020”;

关键词：

planning; hierarchical models; semantics; transformations;

D O I：

10.1109/ICTAI59109.2023.00057

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There are multiple formalisms describing hierarchical planning domain models, however many of them do not show semantics of some features such as empty decomposition methods and extensive constraints. In this short paper we describe the semantics of a hierarchical domain model with these extensive constraints and show how empty decomposition methods would work within it. We also compare this model with other models and present some transformations of model properties.

引用

页码：349 / 353

页数：5

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