Situation assessments using object Oriented Probabilistic Relational Models

被引：0
|
作者：
Howard, C [1 ]
Stumptner, M [1 ]
机构：
[1] Def Sci & Technol Org, Elect Warfare & Radar Div, Edinburgh, SA 5111, Australia
来源：
2005 7TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), VOLS 1 AND 2 | 2005年
关键词：
automated reasoning; Bayesian networks Situation Assessment; Relational Models;
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：
This paper presents Oriented Probabilistic Models (OPRMs), a new First Order Probabilistic Language. OPRMs are a probabilistic frame-based representation language which allow the problem domain to be modelled in a structured manner In terms of objects and the relationships between them We discuss our experience in applying Object Oriented Probabilistic Relational Models to the formulation of Situation Assessments In the tactical military domain and also describe the potential use of the language for deriving Impact Assessments.
引用
收藏
页码：1489 / 1496
页数：8
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