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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.


Symposia proposals are accepted until:

February 6, 2026


If you wish to propose a new Special Session please kindly fill out and submit this Expression of Interest form.

SYMPOSIA/SPECIAL SESSIONS LIST

AXPRO 2026Special Session on Agentic AI for Business Processes
Chair(s): Thorsten Händler

Special Session on Agentic AI for Business Processes - AXPRO 2026

Paper Submission: March 24, 2026
Authors Notification: April 7, 2026
Camera Ready and Registration: April 15, 2026


Chair

Thorsten Händler
Ferdinand Porsche Mobile University of Applied Sciences (FERNFH)
Austria
e-mail
 
Scope

Agentic AI introduces new forms of autonomy, adaptivity, and decision-making that fundamentally reshape how business processes are designed, enacted, and governed. Rather than replacing established BPM concepts, agentic systems extend the process lifecycle through runtime decision-making and hybrid human–AI execution, often realized through multi-agent and context-aware architectures. This evolution raises challenges for process architectures, control mechanisms, accountability, and governance in increasingly autonomous process environments.
AXPRO addresses these challenges by focusing on agentic AI as a key driver of adaptive and decision-centric business processes. We invite conceptual, empirical, and technical contributions exploring architectures, methods, and evaluation approaches for agentic AI–enabled processes across analysis, modeling, execution, monitoring, and redesign. AXPRO aims to advance theory and practice for next-generation process and information systems.



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