Adversarial Multi-Agent Path Finding is Intractable
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10439483" target="_blank" >RIV/00216208:11320/21:10439483 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICTAI52525.2021.00078" target="_blank" >https://doi.org/10.1109/ICTAI52525.2021.00078</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICTAI52525.2021.00078" target="_blank" >10.1109/ICTAI52525.2021.00078</a>
Alternative languages
Result language
angličtina
Original language name
Adversarial Multi-Agent Path Finding is Intractable
Original language description
Adversarial Multi-Agent Path Finding (AMAPF) extends the standard discrete Multi-Agent Path Finding with an adversarial element. Agents of two competing teams are deployed in a shared environment represented by an undirected graph. The first team aims to navigate all its agents from their initial locations to given goal locations, while the second team aims to prevent agents of the first team from fulfilling their goal. We prove that the problem of finding a winning strategy is EXPTIME-complete.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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/EF18_053%2F0016976" target="_blank" >EF18_053/0016976: International mobility of research, technical and administrative staff at the Charles University</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)
ISBN
978-1-66540-899-8
ISSN
1082-3409
e-ISSN
2375-0197
Number of pages
6
Pages from-to
481-486
Publisher name
IEEE
Place of publication
Neuveden.
Event location
Online
Event date
Nov 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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