publ-2020.bib
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@comment{{This file has been generated by bib2bib 1.99}}
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and ( not ( $key : "presentation" ))
and ( not ( $type : "techreport" ))
and ( not ( $type : "misc" ))
and ( not ( annotate : "not reviewed" )))
or $key = "hauer:2021a"
' /home/jantsch/text/papers/lit.bib}}
@comment{{Example entry for online references:
miscWinNT,
title = MS Windows NT Kernel Description,
howpublished = \urlhttp://web.archive.org/web/20080207010024/http://www.808multimedia.com/winnt/kernel.htm,
note = Accessed: 2010-09-30
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title = Quine-McCluskey Algorithm,
author = Wikipedia ,
year = 2021,
howpublished =
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note = Accessed: 2021-08-11
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@article{taherinejad:2020a,
author = {N. {TaheriNejad} and A. {Herkersdorf} and
A. {Jantsch}},
journal = {IEEE Design Test},
title = {Autonomous Systems, Trust and Guarantees},
year = 2020,
issn = {2168-2356},
doi = { 10.1109/MDAT.2020.3024145},
url = {http://jantsch.se/AxelJantsch/papers/2020/NimaTaherinejad-DesignAndTest.pdf},
key = {selfaware,eml,cdl},
pages = {1-1}
}
@article{jantsch:2020a,
author = {Axel Jantsch and Peter R. Lewis and Nikil Dutt},
title = {Introduction to the Special Issue on Self-Aware
Cyber-physical Systems },
journal = {ACM Transactions on Cyber-Physical Systems},
year = 2020,
key = {selfaware},
volume = 4,
number = 4,
month = {June},
doi = {10.1145/3397266},
url = {http://jantsch.se/AxelJantsch/papers/2020/AxelJantsch-ACMTCPS-Editorial.pdf}
}
@inproceedings{hauer:2020a,
author = { Daniel Hauer and Denise Ratasich and Lukas Krammer and Axel Jantsch},
title = {A Methodology for Resilient Control and Monitoring in Smart Grids},
key = {selfaware,monitoring},
booktitle = {2020 IEEE International Conference on Industrial Technology (ICIT)},
year = 2020,
pages = {589-594},
url = {http://jantsch.se/AxelJantsch/papers/2020/DanielHauer-ICAART.pdf}
}
@inproceedings{wendt:2020b,
author = {Alexander Wendt and Stefan Kollmann and Aleksey
Bratukhin and Alireza Estaji and Thilo Sauter and
Axel Jantsch},
title = {Cognitive Architectures for Process Monitoring - an Analysis},
key = {selfaware},
booktitle = {Proceedings of the 18th IEEE International Conference on Industrial Informatics},
year = 2020,
month = {July},
address = {Online},
url = {http://jantsch.se/AxelJantsch/papers/2020/AlexanderWendt-INDIN.pdf}
}
@article{hoffmann:2020a,
author = {Henrik {Hoffmann} and Axel {Jantsch} and Nikil
D. {Dutt}},
journal = {Proceedings of the IEEE},
title = {Embodied Self-Aware Computing Systems},
year = 2020,
pages = {1-20},
key = {selfaware,eml,cdl},
doi = {10.1109/JPROC.2020.2977054},
issn = {1558-2256},
url = {http://jantsch.se/AxelJantsch/papers/2020/HankHoffmann-IEEEProceedings.pdf}
}
@inproceedings{wendt:2020a,
author = { David Bechtold and Alexander Wendt and Axel Jantsch },
title = {Evaluation of Reinforcement Learning Methods for a Self-learning System},
booktitle = {Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020)},
year = 2020,
volume = 2,
month = {February},
address = {Valletta, Malta},
key = {selfaware,ML},
url = {http://jantsch.se/AxelJantsch/papers/2020/AlexWendt-SelfLearningAgent-ICAART.pdf
}
}
@article{bellman:2020a,
author = {Kerstin Bellman and Nikil Dutt and Lukas Esterle and
Andreas Herkersdorf and Axel Jantsch and C. Landauer
and P. R. Lewis and M. Platzner and N. TaheriNejad
and K. Tammem\"{a}e},
journal = {ACM Transactions on Cyber-Physical Systems},
title = {Self-aware Cyber-Physical Systems},
year = 2020,
key = {selfaware,eml,cdl},
pages = {1-24},
address = {New York, NY, USA},
volume = {4},
number = {4},
issn = {2378-962X},
url = {https://doi.org/10.1145/3375716},
doi = {10.1145/3375716},
abstract = {In this article, we make the case for the new class
of Self-aware Cyber-physical Systems. By bringing
together the two established fields of
cyber-physical systems and self-aware computing, we
aim at creating systems with strongly increased yet
managed autonomy, which is a main requirement for
many emerging and future applications and
technologies. Self-aware cyber-physical systems are
situated in a physical environment and constrained
in their resources, and they understand their own
state and environment and, based on that
understanding, are able to make decisions
autonomously at runtime in a self-explanatory
way. In an attempt to lay out a research agenda, we
bring up and elaborate on five key challenges for
future self-aware cyber-physical systems: (i) How
can we build resource-sensitive yet self-aware
systems? (ii) How to acknowledge situatedness and
subjectivity? (iii) What are effective
infrastructures for implementing self-awareness
processes? (iv) How can we verify self-aware
cyber-physical systems and, in particular, which
guarantees can we give? (v) What novel development
processes will be required to engineer self-aware
cyber-physical systems? We review each of these
challenges in some detail and emphasize that
addressing all of them requires the system to make a
comprehensive assessment of the situation and a
continual introspection of its own state to sensibly
balance diverse requirements, constraints,
short-term and long-term objectives. Throughout, we
draw on three examples of cyber-physical systems
that may benefit from self-awareness: a
multi-processor system-on-chip, a Mars rover, and an
implanted insulin pump. These three very different
systems nevertheless have similar characteristics:
limited resources, complex unforeseeable
environmental dynamics, high expectations on their
reliability, and substantial levels of risk
associated with malfunctioning. Using these
examples, we discuss the potential role of
self-awareness in both highly complex and rather
more simple systems, and as a main conclusion we
highlight the need for research on above listed
topics.},
month = {June},
articleno = {38},
numpages = {26}
}
@article{goetzinger:2020a,
author = { Maximilian G\"{o}tzinger and D\'avid Juh\'asz and
Nima Taherinejad and Edwin Willegger and Benedikt
Tutzer and Pasi Liljeberg and Axel Jantsch and Amir
M. Rahmani},
title = { {RoSA}: A Framework for Modeling Self-Awareness in
Cyber-Physical Systems},
journal = {IEEE Access },
year = 2020,
volume = 8,
key = {selfaware,monitoring},
doi = { 10.1109/ACCESS.2020.3012824 },
url = {http://jantsch.se/AxelJantsch/papers/2020/MaxGoetzinger-RoSA.pdf}
}