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Robust hierarchical reasoning over sensor data with the Soar cognitive architecture

机译:利用Soar认知架构对传感器数据进行鲁棒的层次推理

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Sensor fusion remains a difficult task, particularly in noisy environments or when data are incomplete. The Soar cognitive architecture provides the ability to reason over these data sources and make decisions based on the situational context. To feed into the reasoning system, we have created a hierarchical system of analysis components operating at differing levels of complexity. This approach of building up the reasoning system provides robust behavior is applicable across a variety of domains.
机译:传感器融合仍然是一项艰巨的任务,尤其是在嘈杂的环境中或数据不完整时。 Soar认知架构提供了对这些数据源进行推理并基于情境进行决策的能力。为了引入推理系统,我们创建了层次结构的分析组件,这些组件以不同的复杂度运行。建立推理系统的这种方法提供了可靠的行为,可应用于多种领域。

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