License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.9.3.52
URN: urn:nbn:de:0030-drops-112912
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11291/
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Dix, Jürgen ; Logan, Brian ; Winikoff, Michael
Weitere Beteiligte (Hrsg. etc.): Jürgen Dix and Brian Logan and Michael Winikoff

Engineering Reliable Multiagent Systems (Dagstuhl Seminar 19112)

pdf-format:
dagrep_v009_i003_p052_19112.pdf (3 MB)


Abstract

This report documents the program and outcomes of Dagstuhl Seminar 19112 "Engineering Reliable Multiagent Systems". The aim of this seminar was to bring together researchers from various scientific disciplines, such as software engineering of autonomous systems, software verification, and relevant subareas of AI, such as ethics and machine learning, to discuss the emerging topic of the reliability of (multi-)agent systems and autonomous systems in particular. The ultimate aim of the seminar was to establish a new research agenda for engineering reliable autonomous systems.

BibTeX - Entry

@Article{dix_et_al:DR:2019:11291,
  author =	{J{\"u}rgen Dix and Brian Logan and Michael Winikoff},
  title =	{{Engineering Reliable Multiagent Systems (Dagstuhl Seminar 19112)}},
  pages =	{52--63},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{3},
  editor =	{J{\"u}rgen Dix and Brian Logan and Michael Winikoff},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11291},
  URN =		{urn:nbn:de:0030-drops-112912},
  doi =		{10.4230/DagRep.9.3.52},
  annote =	{Keywords: agent-oriented programming, multi agent systems, reliability, software and verification methodologies}
}

Keywords: agent-oriented programming, multi agent systems, reliability, software and verification methodologies
Collection: Dagstuhl Reports, Volume 9, Issue 3
Issue Date: 2019
Date of publication: 12.09.2019


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