RPA technologies allow the automation of repeated processes through indirect or direct instruction from the end-user. While declarative authoring techniques provide a powerful tool to scale up process complexity with RPA elements, often such techniques are difficult to use without expertise. In this work, we will explore systems (in the context of web service composition and goal-oriented conversational agents) that both consumers and developers can interact with, in natural language, to compose RPA elements that demonstrate emergent intelligence as a composition of smaller units of automation. We will also discuss the overhead in authoring such systems, and potential learning opportunities in reducing said overhead. Finally, we will explore issues of explainability for the developer and transparency of dynamic compositions for the consumer in dealing with such systems with aggregated automation.

From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation / Chakraborti, T; Rizk, Y; Isahagian, V; Aksar, B; Fuggitti, F. - 459:(2022), pp. 123-137. (Intervento presentato al convegno BPM 2022 tenutosi a Munster, Germany) [10.1007/978-3-031-16168-1_8].

From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation

Fuggitti, F
2022

Abstract

RPA technologies allow the automation of repeated processes through indirect or direct instruction from the end-user. While declarative authoring techniques provide a powerful tool to scale up process complexity with RPA elements, often such techniques are difficult to use without expertise. In this work, we will explore systems (in the context of web service composition and goal-oriented conversational agents) that both consumers and developers can interact with, in natural language, to compose RPA elements that demonstrate emergent intelligence as a composition of smaller units of automation. We will also discuss the overhead in authoring such systems, and potential learning opportunities in reducing said overhead. Finally, we will explore issues of explainability for the developer and transparency of dynamic compositions for the consumer in dealing with such systems with aggregated automation.
2022
BPM 2022
Web service composition; Automated planning; Natural language processing; Process automation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation / Chakraborti, T; Rizk, Y; Isahagian, V; Aksar, B; Fuggitti, F. - 459:(2022), pp. 123-137. (Intervento presentato al convegno BPM 2022 tenutosi a Munster, Germany) [10.1007/978-3-031-16168-1_8].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1685192
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