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Found 10 papers, 2 papers with code
Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis
We present a principle-based analysis of contribution functions for quantitative bipolar argumentation graphs that quantify the contribution of one argument to another.
Timeline-based Process Discovery
For that reason, it is surprising that current techniques for automatic process discovery generate directly-follows graphs and comparable process models, but often miss the opportunity to explicitly represent the time axis.
Large Process Models: Business Process Management in the Age of Generative AI
The continued success of Large Language Models (LLMs) and other generative artificial intelligence approaches highlights the advantages that large information corpora can have over rigidly defined symbolic models, but also serves as a proof-point of the challenges that purely statistics-based approaches have in terms of safety and trustworthiness.
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available.
Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?
Then a systematic literature review on conversational process modeling is performed, resulting in a taxonomy of application scenarios for conversational process modeling, including paraphrasing and improvement of process descriptions.
Online Handbook of Argumentation for AI: Volume 2
This volume contains revised versions of the papers selected for the second volume of the Online Handbook of Argumentation for AI (OHAAI).
Online Handbook of Argumentation for AI: Volume 1
This volume contains revised versions of the papers selected for the first volume of the Online Handbook of Argumentation for AI (OHAAI).
JS-son -- A Lean, Extensible JavaScript Agent Programming Library
To show how the adoption of agent-oriented programming by the software engineering mainstream can be facilitated, we provide a lean JavaScript library prototype for implementing reasoning-loop agents.
Abstract Argumentation and the Rational Man
To assess under which conditions abstract argumentation-based decision-making can be considered economically rational, we derive reference independence as a non-monotonic inference property from a formal model of economic rationality and create a new argumentation principle that ensures compliance with this property.
Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach
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 human-in-the-loop control of semi-autonomous UAVs.
