Secure Multi-agent Planning via Sharemind

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Secure Multi-agent Planning via Sharemind

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Secure Multi-agent Planning via Sharemind

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GJ18-24965Y" target="_blank" >GJ18-24965Y: Multi-agentní plánování s ochranou soukromých informací</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 12th International Conference on Agents and Artificial Intelligence

ISBN

978-989-758-395-7

ISSN

2184-433X

e-ISSN

—

Počet stran výsledku

8

Strana od-do

852-859

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

Porto

Místo konání akce

Valletta

Datum konání akce

22. 2. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000570769000096