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Towards a Common Ontology for Improved Traceability of Human Behavior Models

机译:朝着常见的本体论提高人类行为模型的可追溯性

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As human behavior models (HBMs) increase in complexity to meet escalating fidelity requirements, it has become more difficult to predict and assess the dynamic behavior of these models with any degree of depth or certainty. Consequently, a need exists for effective analysis and visualization tools that provide model traceability to support the model developer, analyst, and end-user in gaining detailed understanding of the underlying complex behaviors of HBMs. A common ontology for HBMs will allow different HBMs to be analyzed and compared using the same terminology, even when their underlying implementations may differ substantially. We are currently developing a set of model traceability tools that separate the tracing tools from the underlying HBM architecture, by employing the common HBM ontology.
机译:随着人类行为模型(HBMS)的复杂性增加,以满足升级保真要求,预测和评估这些模型的动态行为与任何程度的深度或确定性变得更加困难。因此,需要有效分析和可视化工具,可提供模型可追溯性,以支持模型开发人员,分析师和最终用户在获得HBMS的基础复杂行为的详细了解中。即使当其底层实现可能大大差异,也可以使用相同的术语进行分析和比较HBMS的常见本体。我们目前正在开发一组模型可追溯性工具,通过使用普通的HBM本体,将跟踪工具与底层HBM体系结构分开。

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