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Score-Based Recommendation for Efficiently Selecting Individual Virtual Agents in Multi-Agent Systems

; ; ; ;

In
Proceedings VRST 2017 : 23rd ACM Conference on Virtual Reality Software and Technology : Gothenburg, Sweden, November 08-10, 2017 / general chairs: Morten Fjeld (Chalmers University of Technology), Marco Fratarcangeli (Chalmers University of Technology), Daniel Sjölie (University of Gothenburg) ; papers chairs: Oliver Staadt (University of Rostock), Jonas Unger (Linköping University) ; proceedings production editor: Stephen N. Spencer, University of Washington ; Co-sponsored by ACM SIGCHI and ACM SIGGRAPH, Seiten/Artikel-Nr: 74, 2 Seiten

Konferenz/Event:23. ACM Symposium on Virtual Reality Software and Technology Article , Gothenburg , Sweden , VRST 2017 , 2017-11-08 - 2017-11-10

ImpressumNew York, NY : ACM Press

Umfang74, 2 Seiten

ISBN978-1-4503-5548-3

ReiheACM Conferences

Online
DOI: 10.1145/3139131.3141215

URL: https://publications.rwth-aachen.de/record/713534/files/713534.pdf

Einrichtungen

  1. Lehr- und Forschungsgebiet Immersive Visualisierung (124620)
  2. JARA - HPC (080012)
  3. IT Center (022000)
  4. Fachgruppe Informatik (120000)


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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85038597367
WOS Core Collection: WOS:000455354500074

Interne Identnummern
RWTH-2018-01237
Datensatz-ID: 713534

Beteiligte Länder
Germany, Thailand

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
Central and Other Institutions
Public records
Publications database
120000
080012
022000
124620

 Record created 2018-02-07, last modified 2022-11-07


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