License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2023.115
URN: urn:nbn:de:0030-drops-181673
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18167/
Go to the corresponding LIPIcs Volume Portal

Blondin, Michael ; Ladouceur, François

Population Protocols with Unordered Data

pdf-format:
LIPIcs-ICALP-2023-115.pdf (0.8 MB)

Abstract

Population protocols form a well-established model of computation of passively mobile anonymous agents with constant-size memory. It is well known that population protocols compute Presburger-definable predicates, such as absolute majority and counting predicates. In this work, we initiate the study of population protocols operating over arbitrarily large data domains. More precisely, we introduce population protocols with unordered data as a formalism to reason about anonymous crowd computing over unordered sequences of data. We first show that it is possible to determine whether an unordered sequence from an infinite data domain has a datum with absolute majority. We then establish the expressive power of the "immediate observation" restriction of our model, namely where, in each interaction, an agent observes another agent who is unaware of the interaction.

BibTeX - Entry

@InProceedings{blondin_et_al:LIPIcs.ICALP.2023.115,
  author =	{Blondin, Michael and Ladouceur, Fran\c{c}ois},
  title =	{{Population Protocols with Unordered Data}},
  booktitle =	{50th International Colloquium on Automata, Languages, and Programming (ICALP 2023)},
  pages =	{115:1--115:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-278-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{261},
  editor =	{Etessami, Kousha and Feige, Uriel and Puppis, Gabriele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18167},
  URN =		{urn:nbn:de:0030-drops-181673},
  doi =		{10.4230/LIPIcs.ICALP.2023.115},
  annote =	{Keywords: Population protocols, unordered data, colored Petri nets}
}

Keywords: Population protocols, unordered data, colored Petri nets
Collection: 50th International Colloquium on Automata, Languages, and Programming (ICALP 2023)
Issue Date: 2023
Date of publication: 05.07.2023

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI