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Programmatic Strategy Synthesis: Resolving Nondeterminism in Probabilistic Programs

; ; ;

In
POPL

In
Proceedings of the ACM on programming languages : (PACMPL) 8, Seiten/Artikel-Nr.:93

Konferenz/Event:Symposium on Principles of Programming Languages , London , UK , POPL 2024 , 2024-01-17 - 2024-01-19

ImpressumNew York, NY, USA : ACM

Umfang2792-2820

ISSN2475-1421

Online
DOI: 10.1145/3632935

DOI: 10.18154/RWTH-2024-01610
URL: http://publications.rwth-aachen.de/record/979194/files/979194.pdf

Einrichtungen

  1. Lehrstuhl für Informatik 2 (Softwaremodellierung und Verifikation) (121310)
  2. Graduiertenkolleg UnRAVeL (080060)
  3. Fachgruppe Informatik (120000)

Projekte

  1. FRAPPANT - Formal Reasoning About Probabilistic Programs: Breaking New Ground for Automation (787914) (787914)
  2. GRK 2236 - GRK 2236: Unsicherheit und Randomisierung in Algorithmen, Verifikation und Logik. (282652900) (282652900)

Thematische Einordnung (Klassifikation)
DDC: 004

OpenAccess:
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Dokumenttyp
Journal Article/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85183077292
WOS Core Collection: WOS:001170729400094

Interne Identnummern
RWTH-2024-01610
Datensatz-ID: 979194

Beteiligte Länder
Germany

 GO


Medline ; Creative Commons Attribution-ShareAlike CC BY-SA 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Emerging Sources Citation Index ; IF < 5 ; JCR ; SCOPUS ; Web of Science Core Collection

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121310
080060

 Record created 2024-02-16, last modified 2024-05-27


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