[agents] CFP: The 1st International Workshop on Causal AI and Multi-Agent Systems (CAMAS)

[Yazan MUALLA]

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

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The 1st International Workshop on Causal AI and Multi-Agent Systems (CAMAS)

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/

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Description:
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Causal AI and multi-agent systems (MAS) represent two 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. The workshop will provide a forum for researchers to discuss theoretical foundations, practical applications, and future directions at the intersection of causal AI and MAS.

CAMAS Workshop goals:
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-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 into MAS frameworks.
-Foster interdisciplinary collaboration between researchers in causal reasoning, machine learning, and multi-agent systems.
-Identify promising directions for future research and development in this emerging area.

Topics:
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-Theoretical foundations of causal reasoning in MAS
-Applications of causal AI techniques in agent-based modeling and simulation
-Causal inference in complex and dynamic multi-agent environments
-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
-Causal reasoning capabilities in Large Language Models
-Mechanistic Interpretability of Causality in Large Language Models
-Logic and argumentation-based approaches to causal reasoning

Submission guidelines:
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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 MAY be published in the Springer post-proceedings Lecture Notes in Artificial Intelligence (LNAI). This is to be confirmed
Participants are therefore invited to submit papers up to 16 pages (excl. references) in length (5 pages incl. references for demo papers). Papers must be edited using the LNCS format (applying the LNCS post-proceedings template) and have to be submitted electronically as PDF files via the EasyChair submission page:
https://easychair.org/cfp/content.cgi?a=32874274

Chairs:
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-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. Davide Liga, Postdoctoral Researcher, University of Luxembourg
davide.liga at uni.lu
-Dr. Igor Tchappi, Postdoctoral Researcher, University of Luxembourg
igor.tchappi at uni.lu

Advisory Board:
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-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
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Paper submission deadline: September 19th, 2024
Notification of acceptance: October 05th, 2024
Workshop dates: November 18-19, 2024
Camera-ready: TBD

All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).
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