Adaptive fuzzy knowledge-based systems for control metabots' mobility on virtual environments

Arroyo Castillo, Angel and Serradilla García, Francisco 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.

Description

Title: Adaptive fuzzy knowledge-based systems for control metabots' mobility on virtual environments
Author/s:
  • Arroyo Castillo, Angel
  • Serradilla García, Francisco
  • Calvo Leon, Oscar
Item Type: Article
Título de Revista/Publicación: Expert Systems
Date: 2011
ISSN: 0266-4720
Volume: 28
Subjects:
Freetext Keywords: knowledge-based systems;fuzzy control;evolutionary computation;intelligent agents;metabots;virtual worlds;second life;metaverses
Faculty: E.U. de Informática (UPM)
Department: Sistemas Inteligentes Aplicados [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 11238
DC Identifier: http://oa.upm.es/11238/
OAI Identifier: oai:oa.upm.es:11238
DOI: 10.1111/j.1468-0394.2011.00595.x
Official URL: http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0394.2011.00595.x/abstract
Deposited by: Memoria Investigacion
Deposited on: 03 Jul 2012 12:28
Last Modified: 04 Mar 2015 16:30
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