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20242026
most citedConversational Process Model Redesign

3 citations · 3 across the 8 of their papers we have counts for

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10 papers · 1 filter

cs.AI2026

Organizational Memory for Agentic Business Process Execution

Lukas Kirchdorfer, Adrian Rebmann, Christian Warmuth +3

LLM-based agents offer new opportunities for automating business process execution beyond the limits of rule-based systems. However, general-purpose LLMs lack the organization-spec…

cs.AI2026

Agent Behavior Mining: Generative AI Agent Governance in Business Processes

Hoang Vu, Maximilian Körner, Adrian Rebmann +4

As organizations increasingly deploy generative AI agents to automate business processes, they face a governance dilemma: although these agents can increase operational flexibility…

cs.AI20263 cited

Conversational Process Model Redesign

Nataliia Klievtsova, Timotheus Kampik, Juergen Mangler +1

With the recent success of large language models (LLMs), the idea of AI-augmented Business Process Management systems is becoming more feasible. One of their essential characterist…

cs.AI2026

Formal Foundations of Agentic Business Process Management

Giuseppe De Giacomo, Timotheus Kampik, Lukas Kirchdorfer +2

Just like traditional BPM systems, agentic BPM systems are built around a specification of the process under consideration. Their distinguishing feature, however, is that the execu…

cs.AI2026

Agentic Business Process Management: A Research Manifesto

Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo +15

This paper presents a manifesto that articulates the conceptual foundations of Agentic Business Process Management (APM), an extension of Business Process Management (BPM) for gove…

cs.AI2026

Set Contribution Functions for Quantitative Bipolar Argumentation and their Principles

Filip Naudot, Andreas Brännström, Vicenç Torra +1

We present functions that quantify the contribution of a set of arguments in quantitative bipolar argumentation graphs to (the final strength of) an argument of interest, a so-call…