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IMAGE: A Computer-Aided Cognition Capability for Understanding Complex Systems

机译：图片：一种用于了解复杂系统的计算机辅助认知能力

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Motivation - Computational models are increasingly used to gain insights into complex phenomena. However, better tools are needed to analyze and understand them. Research approach - We describe the IMAGE technology and an ongoing empirical evaluation of IMAGE compared to a baseline condition. Findings/Design - IMAGE provides interactive visualizations to facilitate the management and comparison of multiple simulations, the exploration of data, and the explicit representation of knowledge. Research limitations/Implications - While it may not be possible to fully understand nor predict the behaviour of complex systems, analysts and decision makers would benefit from technologies designed to facilitate their analysis. Originality/Value - IMAGE is a set of advanced technologies working in synergy that seeks to augment comprehension of complex systems. Take away message - IMAGE provides powerful innovative tools for simulation, exploration, and representation-three functions that the human mind cannot perform effectively in complex settings without the support of cognitive artifacts.
机译：动机 - 计算模型越来越多地用于获得复杂现象的洞察力。但是，需要更好的工具来分析和理解它们。研究方法 - 与基线​​条件相比，我们描述了图像技术和对图像的持续实证评估。调查结果/设计 - 图像提供交互式可视化，以促进多次模拟的管理和比较，数据探索以及知识的明确表示。研究限制/含义 - 虽然可能无法完全理解或预测复杂系统的行为，分析师和决策者将从旨在促进其分析的技术中受益。原创性/值 - 图像是在协同作用中工作的一组高级技术，寻求增强对复杂系统的理解。带走消息 - 图像为模拟，探索和代表性提供了强大的创新工具 - 三种功能，即人类思维无法在复杂的环境中有效地执行，而不会支持认知伪像。

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