PMAI 2024
Process Management in the AI Era 2024

Table of Contents

• Preface
  Summary: The workshop includes 6 contributions. There were 5 papers submitted for peer-review, and one invited. Out of the peer-reviewed papers, 5 papers were accepted for this volume, 4 as regular papers and 1 as a short paper. 1

Session 1: Invited

• Balancing Autonomy and Trust to Enable Intelligent Robotic Process Automation 2-4
  Andrea Marrella

Session 2: AI-Augmented Business Process Management and Declarative Process Mining

• An End-To-End Execution of a Logistic Process in an AI-Augmented Business Process Management System 5-10
  Giacomo Acitelli , Simone Agostinelli , Angelo Casciani , Andrea Marrella
• Probabilistic Compliance in Declarative Process Mining 11-22
  Michela Vespa , Elena Bellodi , Federico Chesani , Daniela Loreti , Paola Mello , Evelina Lamma , Anna Ciampolini
• Enhancing Deep Sequence Generation with Logical Temporal Knowledge 23-34
  Elena Umili , Gabriel Paludo Licks , Fabio Patrizi

Session 3: Goal-Oriented Service Composition and Process Framing in Multi-Process Settings

• LTLf Goal-oriented Service Composition 35-46
  Giuseppe De Giacomo , Marco Favorito , Luciana Silo
• Discovering Process Framing for AI-Augmented BPM Systems in a Multi-Process Setting 47-58
  Anti Alman , Izack Cohen , Avigdor Gal , Fabrizio Maria Maggi , Marco Montali