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The sabre narrative planner: Multi-agent coordination with intentions and beliefs

Producción científica: Conference contributionrevisión exhaustiva

5 Citas (Scopus)

Resumen

Narrative planning algorithms coordinate the virtual agents of interactive environments. Sabre is a single, centralized, omniscient decision maker that solves a multi-agent problem. It has a system level author goal it must achieve, but every action taken by an agent must make sense according to that agent's individual intentions and limited, possibly wrong beliefs. We describe our motivation for solving such problems and the difficulties of comparing our planner to existing systems.

Idioma originalEnglish
Título de la publicación alojada20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
Páginas1686-1688
Número de páginas3
ISBN (versión digital)9781713832621
EstadoPublished - 2021
Evento20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 - Virtual, Online
Duración: may 3 2021may 7 2021

Serie de la publicación

NombreProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volumen3
ISSN (versión impresa)1548-8403
ISSN (versión digital)1558-2914

Conference

Conference20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
CiudadVirtual, Online
Período5/3/215/7/21

Nota bibliográfica

Publisher Copyright:
© 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

Financiación

This work was supported by the U.S. National Science Foundation under Grant No. IIS-1911053. Opinions, findings, and conclusions are those of the authors and do not reflect the views of the NSF.

FinanciadoresNúmero del financiador
National Science Foundation (NSF)IIS-1911053

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Software
    • Control and Systems Engineering

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