@inproceedings{1d97051422de44c19d370f918c836d37,
title = "A Roadmap for Causality Research in Complex Adaptive Systems",
abstract = "Causal modeling and cause-detection (abduction) are critical challenges for understanding and managing complex adaptive systems (CAS), including self-improving and self-integrating systems (SISSY). While the vast research literature on causality addresses many important issues, it mostly lacks specific methods for dealing with CAS-related issues - e.g. runtime changes and uncertainty; integrating new types of variables on-the-fly; nonlinear phenomena and large system scales. This paper aims to identify some of these key challenges and to highlight relevant research fields that might help to address them.",
keywords = "Abduction, Causal Model, Causality, Complex Adaptive Systems, Research Roadmap",
author = "Samuel Reyd and Ada Diaconescu and Dessalles, \{Jean Louis\} and Lukas Esterle",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024 ; Conference date: 16-09-2024 Through 20-09-2024",
year = "2024",
month = jan,
day = "1",
doi = "10.1109/ACSOS-C63493.2024.00027",
language = "English",
series = "Proceedings - 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "35--40",
booktitle = "Proceedings - 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024",
}