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Ontologies and Complex Command and Control Decision-making Behavior Modeling: AAAI-99 Ontology Management Workshop Position Paper

机译:本体和复杂的指挥和控制决策行为建模:AAAI-99本体管理车间位置纸张

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This brief position paper discusses some of the workshop's goals and related questions from a perspective founded on projects MITRE has been leading. These projects enable ontology-based decision-making behavior for US Department of Defense systems and simulations, ranging from the individual combatant level to higher echelon command and control (C2). Our projects have used both ISI/USC's Loom description logic system and Cycorps' CYC knowledge system, the standard knowledge representation languages of Ontolingua, Knowledge Interface Format (KIF), and Open Knowledge Base Connectivity (OKBC), and a variant of the agent communication language KQML. Our current project is closely aligned with the goals and some of the participants of the DARPA High Performance Knowledge Base (HPKB) program, and both addresses aspects of and uses ontologies developed for, the course of action (COA) challenge problem. In addition, we are extending these existing ontologies and developing others that are appropriate to collaborative multi-agent command and control decision-making at the battalion and regiment levels.
机译:这篇简短的职位论文讨论了一些研讨会的目标和相关问题,从项目中占地面积的一个角度来看。这些项目能够为美国国防部和仿真部门的基于本体的决策行为,从各个战区级别到更高的梯队命令和控制(C2)。我们的项目已经使用了ISI / USC的织机描述逻辑系统和Cycorps的Cyc知识系统,ontolingua,知识接口格式(KIF)的标准知识表示语言,以及开放知识库连接(OKBC)以及代理通信的变体语言KQML。我们目前的项目与DARPA高性能知识库(HPKB)计划(HPKB)计划的目标和一些参与者密切调整,以及为行动方案(COA)挑战问题而开发的本体的地址和使用本体。此外,我们还延长了这些现有的本体,并开发了适合协同多功能指挥和控制决策的其他本体,并在营地和军团水平上进行控制决策。

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