Intelligent Process Automation (IPA) is emerging as a sub-field of AI to support the automation of long-tail processes which requires the coordination of tasks across different systems. So far, the field of IPA has been largely driven by systems and use cases, lacking a more formal definition of the task and its assessment. This paper aims to address this gap by providing a formalisation of IPA and by proposing specific metrics to support the empirical evaluation of IPA systems. This work also compares and contrasts IPA against related tasks such as end-user programming and program synthesis.

中文翻译：

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关于智能过程自动化的评价

智能流程自动化 (IPA) 正在成为人工智能的一个子领域，以支持需要跨不同系统协调任务的长尾流程自动化。到目前为止，IPA 领域主要由系统和用例驱动，缺乏对任务及其评估的更正式定义。本文旨在通过提供 IPA 的形式化和提出具体指标来支持 IPA 系统的实证评估来解决这一差距。这项工作还将 IPA 与最终用户编程和程序综合等相关任务进行了比较和对比。