Kdml April 2025

kdml@cs.uni-kassel.de

3 participants
3 discussions

[CFP] Foundations and Future of Change in Artificial Intelligence (FCAI) - Workshop @ ECAI

by Kai Sauerwald

**************************************************************************************** FCAI 2025 @ ECAI 2025 Foundations and Future of Change in Artificial Intelligence October 25/26, Bologna, Italy https://fcai2025.machine-reasoning.org/ Workshop co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025) **************************************************************************************** Changing information transversely affects nearly any task and process that we aim to formalize computationally. Consequently, making sense of how to change information is a central aspect and precursor for further advancements in many domains. Naturally, approaches to describe changes, to deal with change, and to conduct changes have been developed in very different areas of artificial intelligence. These approaches generally consider changing from different angles and highlight diverse aspects that sometimes complement each other. For instance, in database theory, much work has been devoted to transactions as the main representation of change and the study of how that affects the computational complexity of querying such databases. On the other hand, researchers in belief change investigated the axiomatic and semantics of different kinds of changes in formal theories. Recent advancements in Machine Learning pose new and exciting challenges in formal approaches to change, which seem conceptually different from classical approaches to change. This workshop aims to bring together researchers from different areas of AI and beyond who work on change in their respective areas and see potential in bridging approaches or for radically advanced existing approaches to change to be combined with new ideas and perspectives. We also invite works that provide general insights on change that are important for multiple areas of artificial intelligence or even for computer science in general. ********************** *** List of Topics *** The workshop welcomes contributions on every topic related to the formal treatment of change, the evolution of representations in artificial intelligence, and approaches that implement such approaches. The following lists potential topics (but is not limited to these): • Position papers on the foundations and future of change • Logics for the representations of changes or reasoning about changes • Belief change theory • Repair in databases and ontologies • Database update and querying • Dynamic complexity theory • Approaches to the meaning and semantics of change, e.g., conditionals and plausibility • Alternative meanings of change • Theories of aspects and kinds of changes, like inconsistency, time or ontologies of change • Foundations of editing, retraining or learning of subsymbolic representations • Learning as a change process • Algorithms to compute changes • Approaches to track changes • Philosophical aspects of change • Updating incomplete information • Dynamics of logic and database systems • Evolution and versioning • Reasoning about update programs ******************************** *** Deadlines and Submission *** • Paper submission: July 13, 2025 • Notification: August 3, 2025 • Workshop: October 25/26, 2025 (tentative) There are two types of submissions: • Full papers. Full papers should be at most 18 pages (one column), excluding references and acknowledgments. Papers already published or accepted for publication at other conferences are also welcome, provided that the original publication is mentioned in a footnote on the first page and the submission at FCAI falls within the authors’ rights. In the same vein, papers under review for other conferences can be submitted with a similar indication on their front page. • Extended Abstracts. Extended abstracts should be at most 5 pages (one column), excluding references and acknowledgments. The abstracts should introduce work that has recently been published, is under review, or is ongoing research at an advanced stage. We highly encourage to attach to the submission a preprint/postprint or a technical report. Such extra material will be read at the discretion of the reviewers. Submitting already published material may require permission by the copyright holder. Submission will be through the EasyChair conference system: https://easychair.org/my/conference?conf=fcai2025 The accepted papers will be made available electronically in the CEUR Workshop Proceedings series as informal proceedings (http://ceur-ws.org/). The copyright of the papers remains with the authors. Full papers will be indexed by dblp.org; but extended abstracts published on CEUR proceedings will not be indexed by dblp.org. ***************** *** PC Chairs *** • Maria Vanina Martinez (Artificial Intelligence Research Institute (AAAI-CSIC), Barcelona, Spain) • Nina Pardal (University of Huddersfield, UK) • Kai Sauerwald (FernUniversität in Hagen, Germany) *************************** *** Further Information *** For further information, please visit the FCAI webpage: https://fcai2025.machine-reasoning.org/ Please feel free to contact the organizer of FCAI 2025. Information on the venue and registration can be obtained from the ECAI 2025 website: https://ecai2025.org/

2 weeks, 3 days

4 Tenure-Track Positions in AI only for Women!

by Johannes Fürnkranz

https://www.jku.at/en/lit-artificial-intelligence-lab/career/precall-four-t… We are proud to announce four tenure-track professorships at Johannes Kepler University Linz *only for female applicants* on the topics: - Knowledge and Data Processing - Natural Language Processing and Interaction - Neuro-Symbolic Artificial Intelligence - Reinforcement Learning In accordance with the concept to support the advancement of women, the positions will be open solely to female applicants. Deadline will most likely be May 28. The official announcements will soon be posted here: https://www.jku.at/en/the-jku/work-at-the-jku/job-openings/professorship-po… Spread the word! Juffi

2 weeks, 4 days

EuADS Summer School on Automated Data Science

by Eyke Hüllermeier

The European Association for Data Science (EuADS) is pleased to announce the 2025 instalment of its popular Summer School series. What: EuADS Summer School on Automated Data Science When: 8-11 July 2025 Where: Maison d’Accueil (Convent of the Franciscan Sisters), 50 avenue Gaston Diderich, L-1420 Luxembourg-Belair Register until: 20 May, 2025 With the increasing complexity of data science projects and the limited availability of human expertise, the idea of automating or partially automating the work of a data scientist has come to the fore in recent years. AutoDS aims to streamline the data science workflow, making processes such as data pre-processing, feature engineering, model selection, evaluation and deployment faster and more accessible. By reducing manual intervention, AutoDS enables both non-experts and data scientists to work more efficiently, scale projects, and make data science accessible to a broader audience. It leverages tools from automated machine learning (AutoML) frameworks, automated visualisation and interpretability techniques to enable efficient model tuning, robust evaluation and easy deployment. Despite its advantages in efficiency and scalability, challenges remain in automating subtasks that are context-dependent and require human interaction, as well as model interpretability, dependence on data quality, and ethical concerns related to bias in automated models. All this has created a vibrant field of work and opens the doors to a community that will find the right forum in this Summer School. The organisers have put together a highly attractive programme addressing the following topics: Tutorial 1: Tabular Learning, from Data Preparation to Foundation Models Tutorial 2: From Theory to Hands-On Workflow Automation, Algorithm Selection, and Hyperparameter Optimization Tutorial 3: Advances in AutoML for Deep Learning: An introduction to Neural Architecture Search, Metalearning and Learning Curves Tutorial 4: Meta-learning for data and algorithm analysis and understanding Tutorial 5: Towards Sustainable Automated Data Science ... because resource efficiency is not enough! The Summer School emphasizes the interdisciplinary nature of data science and is primarily aimed at PhD students, postdoctoral and early-career researchers with a basic grounding in data science, statistics, machine learning, AI, or related fields, and an interest in interdisciplinary research and applications. The EuADS Summer School is preceded by a public event on Tuesday afternoon, 8 July, during which Luc De Raedt (KU Leuven, Belgium) will deliver this year's Sabine Krolak-Schwerdt Lecture entitled 'Neurosymbolic AI: Learning and Reasoning for Trustworthy AI'. The public event will be followed by a welcome reception. The Summer School is planned as an in-person event and the symposium as an hybrid event. For more information including how to register see: https://www.euads.org/fjkdlasjdiglsmdgkcxjhvckh/euads-summer-school-2025/ For participants there are a limited number of affordable rooms available at the Maison d’Accueil, please have a look at our website. There are several hotels within walking distance. However, please note it is very urgent to make your reservation now because the Councils of ministers of the EU are all held in Luxembourg during the month of June and therefore prices will rise in the coming months. It is also worth nothing that in Luxembourg all public transport is free of charge. We look forward to seeing you in Luxembourg in July.

2 weeks, 6 days

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Kdml April 2025