Secure Multi-Agent Planning Algorithms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00302391" target="_blank" >RIV/68407700:21230/16:00302391 - isvavai.cz</a>
Result on the web
<a href="http://ebooks.iospress.nl/publication/44996" target="_blank" >http://ebooks.iospress.nl/publication/44996</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/978-1-61499-672-9-1714" target="_blank" >10.3233/978-1-61499-672-9-1714</a>

Result language
angličtina
Original language name
Secure Multi-Agent Planning Algorithms
Original language description
Multi-agent planning (MAP) is often motivated by the preservation of private information. Such motivation is not only natural for multi-agent systems, but is one of the main reasons, why MAP problems cannot be solved centrally. In this paper, we analyze privacy leakage of the most common MAP paradigms. Then, we propose a new class SECMAP of secure MAP algorithms and show how the existing techniques can be modified to fall in the proposed class.
Czech name
—
Czech description
—

Project
<a href="/en/project/GJ15-20433Y" target="_blank" >GJ15-20433Y: Heuristic Search for Multiagent and Factored Planning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 22nd European Conference on Artificial Intelligence
ISBN
978-1-61499-671-2
ISSN
0922-6389
e-ISSN
—
Number of pages
2
Pages from-to
1714-1715
Publisher name
ECAI European Conference on Artificial Inteligence
Place of publication
Berlin
Event location
Hague
Event date
Aug 29, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000385793700261

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