Goal Recognition in Incomplete Domain Models

被引：0

作者：

Pereira, Ramon Fraga ^{[1
]}

Meneguzzi, Felipe ^{[1
]}

机构：

[1] Pontifical Catholic Univ Rio Grande Sul PUCRS, Postgrad Programme Comp Sci, Sch Informat FACIN, Av Ipiranga 668, BR-90619900 Porto Alegre, RS, Brazil

来源：

THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2018年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate and efficient algorithms. These approaches, however, assume completeness and correctness of the domain theory against which their algorithms match observations: this is too strong for most real-world domains. In this work, we develop a goal recognition technique capable of recognizing goals using incomplete (and possibly incorrect) domain theories.

引用

页码：8127 / 8128

页数：2

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