Please, accept our apologies in case of multiple copies of this CFP. ************************************************************************************************************************************* The 2nd International Workshop on Causality, Agents and Large Models (CALM) https://www.ciad-lab.fr/the-2nd-international-workshop-on-causality-agents-a... In conjunction with the Luxembourg Logic & AI Summit https://icr.uni.lu/luxlogai2025/ University of Luxembourg, Luxembourg, 01-05 December 2025. ************************************************************************************************************************************** Description: ============ Causality, Agents and Large Models (CALM) represents three rapidly-growing fields within artificial intelligence research. This workshop aims to bridge the gap between these disciplines by investigating how causal reasoning and explainable AI (XAI) techniques can enhance the capabilities of multi-agent systems (MAS). The workshop will provide a forum for researchers to discuss theoretical foundations, practical applications, and future directions at the intersection of causal AI, XAI, Large Language Models (LLM) and MAS. CALM Workshop goals: ===================== -Explore the role of causal reasoning in enhancing decision-making, coordination, and adaptation in multi-agent systems. -Discuss technical challenges and opportunities for integrating causal AI techniques and LLM into MAS frameworks. -Develop methodologies and metrics to evaluate the explainability of causal reasoning in agents and large models. -Foster interdisciplinary collaboration between researchers in causal reasoning, XAI, LLM, and MAS. -Examine how explanations support user trust, cognitive ergonomics, and effective human-agent collaboration. -Identify promising directions for future research and development in this rapidly advancing research domain. Topics: ======= -Theoretical foundations of causal reasoning in Multi-Agent Systems (MAS) -Causal reasoning capabilities in Large Models (e.g., Large Language Models, LLMs) -Theoretical and practical Agentic-AI -Explainable AI (XAI) with active inference techniques -Applications of XAI techniques in agent-based modeling and simulation -Human-centered evaluation of causal explanations in MAS and LLMs -Causal inference in complex and dynamic multi-agent environments -Mechanistic Interpretability of Causality in Large Language Models -LLMs for coordination, cooperation, and communication among agents -Challenges and opportunities for incorporating XAI into MAS frameworks -Case studies and empirical evaluations of XAI approaches in agents -Generative AI as preprocessing for MAS -Exploring causality with deep generative models -Digital twins and simulators for interpretable synthetic data generation -Graph neural network causal learning -Interpretable and ergonomically-grounded root cause analysis methods for agent decision-making -Logic and argumentation-based approaches to causal reasoning -Ethical and Responsible XAI in LLM -Human Factors in XAI and Agentic AI -Adaptive and Personalized Explanations (Context-aware, and Human-centric) -Multi-modal explanations and Cross-cultural ergonomics -Ergonomic evaluation of explanation modalities (visual, textual, interactive) -Explainability in human-agent teaming: Ergonomic principles for effective collaboration in mixed teams (humans + AI agents) Submission guidelines: ====================== Submissions will be reviewed by at least three members of the program committee, who are experts in the field. The acceptance of the submitted papers will depend on their quality, relevance, and originality. All accepted papers will be published in the Springer proceedings Communications in Computer and Information Science (CCIS) series devoted to the publication of proceedings of computer science conferences. Participants are therefore invited to submit Long papers: up to 16 pages in length (excl. references) or Short papers: up to 5 pages in length (excl. references). Papers must be edited using the LNCS format and have to be submitted electronically as PDF files via the EasyChair submission page: https://easychair.org/my/conference?conf=calm25 Chairs: ======= -Dr. Yazan Mualla, Associate Professor, CIAD, Belfort-Montbéliard University of Technology yazan.mualla[at]utbm.fr https://www.ciad-lab.fr/yazan_mualla -Dr. Liuwen Yu, Postdoc, University of Luxembourg liuwen.yu[at]uni.lu https://www.liuwenyu.me/ -Dr. Hui Zhao, Assistant Professor, (Tongji University, China). huizhao[at]tongji.edu.cn -Dr. Amro Najjar, Assistant Professor, (Luxembourg Institute of Science and Technology, Luxembourg). amro.najjar[at]list.lu -Dr. Davide Liga, Postdoctoral Researcher, University of Luxembourg davide.liga@uni.lu Advisory Board: =============== -Prof. Dr. Stéphane Galland, Full professor, CIAD, Belfort-Montbéliard University of Technology stephane.galland[at]utbm.fr https://www.ciad-lab.fr/stephane_galland/ -Prof. Dr. Abdeljalil Abbas-Turki, Full professor, CIAD, Belfort-Montbéliard University of Technology abdeljalil.abbas-turki[at]utbm.fr https://www.ciad-lab.fr/abdeljalil_abbas-turki/ Important Dates ================ Paper submission deadline: October 16th, 2025 (final) Notification of acceptance: October 31st, 2025 Camera-ready: December 13th, 2025 Workshop dates: December 03rd, 2025 All deadlines are at the end of the day specified, anywhere on Earth (UTC-12). Previous proceedings: ===================== CALM-24 (Springer) https://link.springer.com/book/10.1007/978-3-031-89103-8