ABSTRACT

Automated decision-making techniques play a crucial role in data science, AI, and general machine learning. However, such techniques need to balance accuracy with computational complexity, as their solution requirements are likely to need exhaustive analysis of the potentially numerous events combinations, which constitute the corresponding scenarios. Intuition is an essential tool in the identification of solutions to problems. More specifically, it can be used to identify, combine and discover knowledge in a “parallel” manner, and therefore more efficiently. As a consequence, the embedding of artificial intuition within data science is likely to provide novel ways to identify and process information. There is extensive research on this topic mainly based on qualitative approaches. However, due to the complexity of this field, limited quantitative models and implementations are available. In this article, the authors have extended the evaluation to include a real-world, multi-disciplinary area in order to provide a more comprehensive assessment. The results demonstrate the value of artificial intuition, when embedded in decision-making and information extraction models and frameworks. In fact, the output produced by the approach discussed in their article was compared with a similar task carried out by a group of experts in the field. This demonstrates comparable results further showing the potential of this framework, as well as artificial intuition as a tool for decision-making and information extraction.

摘要

自动决策技术在数据科学、人工智能和通用机器学习中发挥着至关重要的作用。然而，此类技术需要平衡准确性和计算复杂性，因为它们的解决方案要求可能需要对构成相应场景的潜在众多事件组合进行详尽分析。直觉是识别问题解决方案的重要工具。更具体地说，它可以用于以“并行”方式识别、组合和发现知识，从而更加高效。因此，将人工直觉嵌入数据科学可能会提供识别和处理信息的新方法。关于这个主题的广泛研究主要基于定性方法。但由于该领域的复杂性，可用的定量模型和实施方式有限。在本文中，作者将评估范围扩展到现实世界的多学科领域，以便提供更全面的评估。结果证明了人工直觉嵌入决策和信息提取模型和框架时的价值。事实上，他们的文章中讨论的方法产生的输出与该领域专家组执行的类似任务进行了比较。这表明可比较的结果进一步显示了该框架的潜力，以及人工直觉作为决策和信息提取工具的潜力。多学科领域，以便提供更全面的评估。结果证明了人工直觉嵌入决策和信息提取模型和框架时的价值。事实上，他们的文章中讨论的方法产生的输出与该领域专家组执行的类似任务进行了比较。这表明可比较的结果进一步显示了该框架的潜力，以及人工直觉作为决策和信息提取工具的潜力。多学科领域，以便提供更全面的评估。结果证明了人工直觉嵌入决策和信息提取模型和框架时的价值。事实上，他们的文章中讨论的方法产生的输出与该领域专家组执行的类似任务进行了比较。这表明可比较的结果进一步显示了该框架的潜力，以及人工直觉作为决策和信息提取工具的潜力。他们的文章中讨论的方法产生的输出与该领域专家组执行的类似任务进行了比较。这表明可比较的结果进一步显示了该框架的潜力，以及人工直觉作为决策和信息提取工具的潜力。他们的文章中讨论的方法产生的输出与该领域专家组执行的类似任务进行了比较。这表明可比较的结果进一步显示了该框架的潜力，以及人工直觉作为决策和信息提取工具的潜力。