Cooperative Multi-Agent Planning: A Survey
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00318773" target="_blank" >RIV/68407700:21230/18:00318773 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/citation.cfm?id=3128584" target="_blank" >https://dl.acm.org/citation.cfm?id=3128584</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3128584" target="_blank" >10.1145/3128584</a>
Alternative languages
Result language
angličtina
Original language name
Cooperative Multi-Agent Planning: A Survey
Original language description
Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms, and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems communities. While planning has been generally treated as a single-agent task, MAP generalizes this concept by considering multiple intelligent agents that work cooperatively to develop a course of action that satisfies the goals of the group.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
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)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACM Computing Surveys
ISSN
0360-0300
e-ISSN
1557-7341
Volume of the periodical
50
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
32
Pages from-to
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UT code for WoS article
000419881700007
EID of the result in the Scopus database
2-s2.0-85040235429