Secure Multi-agent Planning via Sharemind
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00347273" target="_blank" >RIV/68407700:21230/20:00347273 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5220/0009147908520859" target="_blank" >https://doi.org/10.5220/0009147908520859</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0009147908520859" target="_blank" >10.5220/0009147908520859</a>
Alternative languages
Result language
angličtina
Original language name
Secure Multi-agent Planning via Sharemind
Original language description
Classical planning provides models and algorithms for solving problems of finding a sequence of actions that transforms the initial state of the world into a state of the world with the desired properties. In classical planning, we assume that the solution plan entails all actors in the world and thus it can be computed centrally. In multi-agent planning, this assumption is dropped in favor of situations where there is multitude of actors with individual capabilities, goals, and objectives, called agents. In this work, we propose a novel technique for multi-agent planning which combines a state-of-the-art planner called Planning State Machine (PSM) Planner with a framework for mutli-party secure computation, Sharemind. This allows the agents to find a cooperative plan while preventing the leakage of private information in a practical and scalable way.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ18-24965Y" target="_blank" >GJ18-24965Y: Privacy Preserving Multi-agent Planning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th International Conference on Agents and Artificial Intelligence
ISBN
978-989-758-395-7
ISSN
2184-433X
e-ISSN
—
Number of pages
8
Pages from-to
852-859
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Valletta
Event date
Feb 22, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000570769000096