Please, accept our apologies in case of multiple copies of this CFP. ************************************************************************************************************************************* The 1st International Workshop on Causality, Agents and Large Models (CALM) https://www.ciad-lab.fr/prima-causal-ai-workshop/ in conjunction with The 25th International Conference on Principles and Practice of Multi-Agent Systems Kyoto, Japan | November 18-24, 2024 https://sites.google.com/view/prima-2024/ ************************************************************************************************************************************** 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 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, Large Language Models (LLM) and MAS. CALM Workshop goals: ===================== -Explore the role of causal reasoning in enhancing decision-making, coordination, and adaptation in MAS. -Discuss technical challenges and opportunities for integrating causal AI techniques and LLM into MAS frameworks. -Foster interdisciplinary collaboration between researchers in causal reasoning, LLM, and MAS. -Identify promising directions for future research and development in this emerging area. Topics: ======= -Theoretical foundations of causal reasoning in MAS -Causal reasoning capabilities in Large Language Models -Applications of causal AI techniques in agent-based modeling and simulation -Causal inference in complex and dynamic multi-agent environments -Mechanistic Interpretability of Causality in Large Language Models -Integration of causal reasoning with decision-making and planning in MAS -Learning causal models from observational and interventional data in MAS -Causal reasoning for coordination, cooperation, and communication among agents -Challenges and opportunities for incorporating causal AI into MAS frameworks -Case studies and empirical evaluations of causal AI 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 -Causal reinforcement learning -Interpretable/Explainable root cause analysis methods -Explainable AI with active inference techniques -Logic and argumentation-based approaches to causal reasoning 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 (incl. references) or Short papers: up to 5 pages in length (incl. 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=calm2024 Chairs: ======= -Dr. Yazan Mualla, Associate professor, CIAD, Belfort-Montbéliard University of Technology yazan.mualla@utbm.fr https://www.ciad-lab.fr/yazan_mualla -Dr. Liuwen Yu, Postdoc, University of Luxembourg liuwen.yu@uni.lu https://www.liuwenyu.me/ -Dr. Davide Liga, Postdoctoral Researcher, University of Luxembourg davide.liga@uni.lu -Dr. Igor Tchappi, Postdoctoral Researcher, University of Luxembourg igor.tchappi@uni.lu Advisory Board: =============== -Prof. Dr. Stéphane Galland, Full professor, CIAD, Belfort-Montbéliard University of Technology stephane.galland@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@utbm.fr https://www.ciad-lab.fr/abdeljalil_abbas-turki/ Important Dates ================ Paper submission deadline: September 26th, 2024 (extended) Notification of acceptance: October 05th, 2024 Workshop dates: November 18 or 19, 2024 Camera-ready: TBD All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).