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Resilience and Antifragility of Autonomous Systems (Dagstuhl Seminar 24182)

Authors: Simon Burton, Radu Calinescu, and Raffaela Mirandola

Published in: Dagstuhl Reports, Volume 14, Issue 4 (2024)

Abstract

In healthcare, transportation, manufacturing, and many other domains, autonomous systems have the potential to undertake or support complex missions that are dangerous, difficult, or tedious for humans. However, to achieve this potential, autonomous systems must be resilient: they must continue to provide the required functionality despite the anticipated and unforeseen disturbances encountered within their operating environments. This ability to achieve user goals in open-world environments can be further increased by making autonomous systems antifragile. Antifragile systems benefit from exposure to uncertainty and disturbances, by learning from encounters with such difficulties, so that they can handle their future occurrences faster, more efficiently, with lower user impact, etc. This Dagstuhl Seminar brought together leading researchers and practitioners with expertise in autonomous system resilience, antifragility, safety and ethics, self-adaptive systems, and formal methods, with the aim to: (1) develop and document a common understanding of resilient and antifragile autonomous systems (RAAS); (2) identify open challenges for RAAS; (3) discuss promising preliminary approaches; and (4) propose a research agenda for addressing these challenges.

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Simon Burton, Radu Calinescu, and Raffaela Mirandola. Resilience and Antifragility of Autonomous Systems (Dagstuhl Seminar 24182). In Dagstuhl Reports, Volume 14, Issue 4, pp. 142-163, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{burton_et_al:DagRep.14.4.142,
  author =	{Burton, Simon and Calinescu, Radu and Mirandola, Raffaela},
  title =	{{Resilience and Antifragility of Autonomous Systems (Dagstuhl Seminar 24182)}},
  pages =	{142--163},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{4},
  editor =	{Burton, Simon and Calinescu, Radu and Mirandola, Raffaela},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.4.142},
  URN =		{urn:nbn:de:0030-drops-213482},
  doi =		{10.4230/DagRep.14.4.142},
  annote =	{Keywords: artificial intelligence, antifragility, autonomous systems, disturbance, ethics, formal methods, machine learning, nondeterminism, resilience, safety, self-adaptive systems, validation and verification, uncertainty}
}

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DOI: 10.4230/DARTS.3.1.3

UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater Vehicles (Artifact)

Authors: Simos Gerasimou, Radu Calinescu, Stepan Shevtsov, and Danny Weyns

Published in: DARTS, Volume 3, Issue 1, Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017)

Abstract

Recent advances in embedded systems and underwater communications raised the autonomy levels in unmanned underwater vehicles (UUVs) from human-driven and scripted to adaptive and self-managing. UUVs can execute longer and more challenging missions, and include functionality that enables adaptation to unexpected oceanic or vehicle changes. As such, the UNDERSEA artifact facilitates the development, evaluation and comparison of self-adaptation solutions in a new and important application domain. UNDERSEA comes with predefined oceanic surveillance UUV missions, adaptation scenarios, and a reference controller implementation, all of which can easily be extended or replaced.

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Simos Gerasimou, Radu Calinescu, Stepan Shevtsov, and Danny Weyns. UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater Vehicles (Artifact). In Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017). Dagstuhl Artifacts Series (DARTS), Volume 3, Issue 1, pp. 3:1-3:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Article{gerasimou_et_al:DARTS.3.1.3,
  author =	{Gerasimou, Simos and Calinescu, Radu and Shevtsov, Stepan and Weyns, Danny},
  title =	{{UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater  Vehicles (Artifact)}},
  pages =	{3:1--3:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2017},
  volume =	{3},
  number =	{1},
  editor =	{Gerasimou, Simos and Calinescu, Radu and Shevtsov, Stepan and Weyns, Danny},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.3.1.3},
  URN =		{urn:nbn:de:0030-drops-71416},
  doi =		{10.4230/DARTS.3.1.3},
  annote =	{Keywords: Unmanned underwater vehicle exemplar; self-adaptive embedded systems; oceanic surveillance}
}

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Documents authored by Calinescu, Radu

Resilience and Antifragility of Autonomous Systems (Dagstuhl Seminar 24182)

Abstract

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UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater Vehicles (Artifact)

Abstract

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