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MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertainty
Increasingly, safety-critical systems include artificial intelligence and machine learning components (i.e., learning-enabled components (LECs)). However, when behavior is learned in a training environment that fails to fully capture real-world phenomena, the response of an LEC to untrained phenomen...
Autores principales: | Langford, Michael Austin, Chan, Kenneth H., Fleck, Jonathon Emil, McKinley, Philip K., Cheng, Betty H. C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024308/ https://www.ncbi.nlm.nih.gov/pubmed/37363107 http://dx.doi.org/10.1007/s10270-023-01090-9 |
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