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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • UT code for WoS article

    000419881700007

  • EID of the result in the Scopus database

    2-s2.0-85040235429