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ORCID: https://orcid.org/0000-0003-2517-5926, Serradilla García, Francisco
ORCID: https://orcid.org/0000-0001-7621-0627 and Calvo Leon, Oscar
(2011).
Adaptive fuzzy knowledge-based systems for control metabots' mobility on virtual environments.
"Expert Systems", v. 28
(n. 4);
pp. 339-352.
ISSN 0266-4720.
https://doi.org/10.1111/j.1468-0394.2011.00595.x.
| Título: | Adaptive fuzzy knowledge-based systems for control metabots' mobility on virtual environments |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Expert Systems |
| Fecha: | 2011 |
| ISSN: | 0266-4720 |
| Volumen: | 28 |
| Número: | 4 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | knowledge-based systems;fuzzy control;evolutionary computation;intelligent agents;metabots;virtual worlds;second life;metaverses |
| Escuela: | E.U. de Informática (UPM) [antigua denominación] |
| Departamento: | Sistemas Inteligentes Aplicados [hasta 2014] |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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The confluence of three-dimensional (3D) virtual worlds with social networks imposes on software agents, in addition to conversational functions, the same behaviours as those common to human-driven avatars. In this paper, we explore the possibilities of the use of metabots (metaverse robots) with motion capabilities in complex virtual 3D worlds and we put forward a learning model based on the techniques used in evolutionary computation for optimizing the fuzzy controllers which will subsequently be used by metabots for moving around a virtual environment.
| ID de Registro: | 11238 |
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| Identificador DC: | https://oa.upm.es/11238/ |
| Identificador OAI: | oai:oa.upm.es:11238 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5486268 |
| Identificador DOI: | 10.1111/j.1468-0394.2011.00595.x |
| URL Oficial: | http://onlinelibrary.wiley.com/doi/10.1111/j.1468-... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 03 Jul 2012 12:28 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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