An agent-based meta-level architecture for strategic reasoning in naval planning

被引：0
|
作者：
Hoogendoorn, Mark [1 ]
Jonker, Catholijn M. [3 ]
van Maanen, Peter-Paul [1 ,2 ]
Treur, Jan [1 ]
机构：
[1] Vrije Univ Amsterdam, Dept Artificial Intelligence, Boelelaan 1081, NL-1081 HV Amsterdam, Netherlands
[2] TNO Human Factors, Dept Informat Processing, POB 23, NL-3769 ZG Soesterberg, Netherlands
[3] Radboud Univ Nijmegen, Nijmegen Inst Cognit & Informat, NL-6525 HR Nijmegen, Netherlands
来源：
AGENT-ORIENTED INFORMATION SYSTEMS III | 2006年 / 3529卷
关键词：
meta-reasoning; planning; intelligent agent systems;
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：
The management of naval organizations aims at the maximization of mission success by means of monitoring, planning and strategic reasoning. This paper presents an agent-based meta-level architecture for the improvement of automated strategic reasoning in naval planning. The architecture is instantiated with decision knowledge acquired from naval domain experts and is formed into an executable agent-based model, which is used to perform a number of simulation runs. To evaluate the simulation results, relevant properties for the planning decision are identified and formalized. These important properties are validated for the simulation traces.
引用
收藏
页码：216 / +
页数：3
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