Please, accept our apologies in case of multiple copies of this CFP.

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The 2nd International Workshop on Causality, Agents and Large Models (CALM)

https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ciad-lab.fr%2Fthe-2nd-international-workshop-on-causality-agents-and-large-models-calm%2F&data=05%7C02%7Cclean-list%40science.ru.nl%7C646eca5da70745c3150a08ddda707e3c%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C638906898881194468%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=pJzg84LTWDS2OuELkr7LYKhQiaWZIhkdcqS%2FEB3gy2A%3D&reserved=0

In conjunction with the Fifth International Workshop on Logics for 
New-Generation Artificial Intelligence (LNGAI 2025)

University of Luxembourg, Luxembourg, from 1to 4 December 2025.

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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
-Theoretical and practical Agentic-AI
-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://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair.org%2Fmy%2Fconference%3Fconf%3Dcalm25&data=05%7C02%7Cclean-list%40science.ru.nl%7C646eca5da70745c3150a08ddda707e3c%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C638906898881239246%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=XbWNuejxoR4mbOgogsx3BF5OoqcQZHz7Z0bYxPsZsb0%3D&reserved=0

Chairs:
=======
-Dr. Yazan Mualla, Associate professor, CIAD, Belfort-Montbéliard University of 
Technology
yazan.mualla[at]utbm.fr
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-Dr. Liuwen Yu, Postdoc, University of Luxembourg
liuwen.yu[at]uni.lu
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-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

Advisory Board:
===============
-Prof. Dr. Stéphane Galland, Full professor, CIAD, Belfort-Montbéliard 
University of Technology
stephane.galland[at]utbm.fr
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-Prof. Dr. Abdeljalil Abbas-Turki, Full professor, CIAD, Belfort-Montbéliard 
University of Technology
abdeljalil.abbas-turki[at]utbm.fr
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Important Dates
================
Paper submission deadline: October 01st, 2025
Notification of acceptance: October 24th, 2025
Camera-ready: TBD
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)
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