Detection of Detrimental Weak Emergent Behavior Considering Operational Factors: A Case Study in Search and Rescue

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Systems Journal Pub Date : 2025-01-06 DOI:10.1109/JSYST.2024.3521477
R. A. Haugen;S. Kokkula;A. Ghaderi;G. Muller;E. Syverud
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引用次数: 0

Abstract

This article applies the design of experiments approach for detecting detrimental weak emergent behavior of an autonomous surface vessel operating in a dynamic environment on a search and rescue mission. The research utilizes orthogonal arrays in combination with regression analysis to systematically test the parameter space of an engineered system function. We explored the parameter space of interest and detected where the system model does not comply with a defined measure of effectiveness. The findings from this case study suggest that these methods enable a systematic exploration of the system's parameter space, allowing for the effective detection of detrimental weak emergent behavior. This approach potentially enhances test coverage, expands system operating knowledge and facilitates mitigation efforts more efficiently.
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来源期刊
IEEE Systems Journal
IEEE Systems Journal 工程技术-电信学
CiteScore
9.80
自引率
6.80%
发文量
572
审稿时长
4.9 months
期刊介绍: This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.
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