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Authors: Guisen Wu 1 and Jun Pang 2

Affiliations: 1 School of Computer and Information Science, Southwest University, China ; 2 Faculty of Science, Technology and Medicine & Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg

Keyword(s): Boolean Control Networks, Reconstructibility, Observability, Verification Algorithms.

Abstract: We first demonstrate that, BCNs’ single-experiment reconstructibility has three additional forms in addition to its current definition, and briefly introduce the verification algorithms we design for these new definitions. These definitions and algorithms bring the following improvements to BCNs’ control theory. First, the solution algorithms of single-experiment reconstruction are enriched to cope with more different scenarios. Second, the verification problem of single-experiment reconstructibility is simplified. Finally, the essential relationship and difference between reconstruction and observation (which focuses on determining the initial state for a BCN), is further clarified.

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Paper citation in several formats:
Wu, G. and Pang, J. (2023). Single-Experiment Reconstructibility of Boolean Control Networks Revisited. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-670-5; ISSN 2184-2809, SciTePress, pages 85-93. DOI: 10.5220/0012161100003543

@conference{icinco23,
author={Guisen Wu. and Jun Pang.},
title={Single-Experiment Reconstructibility of Boolean Control Networks Revisited},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2023},
pages={85-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012161100003543},
isbn={978-989-758-670-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Single-Experiment Reconstructibility of Boolean Control Networks Revisited
SN - 978-989-758-670-5
IS - 2184-2809
AU - Wu, G.
AU - Pang, J.
PY - 2023
SP - 85
EP - 93
DO - 10.5220/0012161100003543
PB - SciTePress