49 citations · 80 across the 44 of their papers we have counts for
17 papers · 1 filter
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…
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…
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…
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…
llmSHAP: A Principled Approach to LLM Explainability
Filip Naudot, Tobias Sundqvist, Timotheus Kampik
Feature attribution methods help make machine learning-based inference explainable by determining how much one or several features have contributed to a model's output. A particula…
Change in Quantitative Bipolar Argumentation: Sufficient, Necessary, and Counterfactual Explanations
Timotheus Kampik, Kristijonas Čyras, José Ruiz Alarcón
This paper presents a formal approach to explaining change of inference in Quantitative Bipolar Argumentation Frameworks (QBAFs). When drawing conclusions from a QBAF and updating…
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…
Contestability in Quantitative Argumentation
Xiang Yin, Nico Potyka, Antonio Rago +2
Contestable AI requires that AI-driven decisions align with human preferences. While various forms of argumentation have been shown to support contestability, Edge-Weighted Quantit…
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…
Disagree and Commit: Degrees of Argumentation-based Agreements
Timotheus Kampik, Juan Carlos Nieves
In cooperative human decision-making, agreements are often not total; a partial degree of agreement is sufficient to commit to a decision and move on, as long as one is somewhat co…
xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models
Kiran Busch, Timotheus Kampik, Henrik Leopold
The identification of undesirable behavior in event logs is an important aspect of process mining that is often addressed by anomaly detection methods. Traditional anomaly detectio…
Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis
Timotheus Kampik, Nico Potyka, Xiang Yin +2
We present a principle-based analysis of contribution functions for quantitative bipolar argumentation graphs that quantify the contribution of one argument to another. The introdu…
Online Handbook of Argumentation for AI: Volume 3
Lars Bengel, Elfia Bezou-Vrakatseli, Lydia Blümel +7
This volume contains revised versions of the papers selected for the third volume of the Online Handbook of Argumentation for AI (OHAAI). Previously, formal theories of argument an…
Online Handbook of Argumentation for AI: Volume 2
OHAAI Collaboration, Andreas Brannstrom, Federico Castagna +13
This volume contains revised versions of the papers selected for the second volume of the Online Handbook of Argumentation for AI (OHAAI). Previously, formal theories of argument a…
Online Handbook of Argumentation for AI: Volume 1
OHAAI Collaboration, Federico Castagna, Timotheus Kampik +9
This volume contains revised versions of the papers selected for the first volume of the Online Handbook of Argumentation for AI (OHAAI). Previously, formal theories of argument an…
Abstract Argumentation and the Rational Man
Timotheus Kampik, Juan Carlos Nieves
Abstract argumentation has emerged as a method for non-monotonic reasoning that has gained popularity in the symbolic artificial intelligence community. In the literature, the diff…
Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach
Yazan Mualla, Amro Najjar, Timotheus Kampik +3
This paper presents an initial design concept and specification of a civilian Unmanned Aerial Vehicle (UAV) management simulation system that focuses on explainability for the huma…