Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Multiagent Systems

arXiv:2207.09058 (cs)
[Submitted on 19 Jul 2022]

Title:Proceedings of the Second Workshop on Agents and Robots for reliable Engineered Autonomy

Authors:Rafael C. Cardoso (University of Aberdeen), Angelo Ferrando (University of Genova), Fabio Papacchini (Lancaster University Leipzig), Mehrnoosh Askarpour (McMaster University), Louise A. Dennis (The University of Manchester)
No PDF available, click to view other formats
Abstract:This volume contains the proceedings of the Second Workshop on Agents and Robots for reliable Engineered Autonomy (AREA 2022), co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022). The AREA workshop brings together researchers from autonomous agents, software engineering and robotic communities, as combining knowledge coming from these research areas may lead to innovative approaches that solve complex problems related with the verification and validation of autonomous robotic systems.
Subjects: Multiagent Systems (cs.MA); Robotics (cs.RO); Software Engineering (cs.SE)
Cite as: arXiv:2207.09058 [cs.MA]
  (or arXiv:2207.09058v1 [cs.MA] for this version)
  https://doi.org/10.48550/arXiv.2207.09058
Journal reference: EPTCS 362, 2022
Related DOI: https://doi.org/10.4204/EPTCS.362

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Tue, 19 Jul 2022 04:12:36 UTC (5 KB)
Full-text links:

Access Paper:

  • HTML
  • Other Formats
license icon view license
Current browse context:
cs.MA
< prev   |   next >
new | recent | 2022-07
Change to browse by:
cs
cs.RO
cs.SE

References & Citations

export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)