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

被引：4
|
作者：
Arroyo, A. [1 ,2 ]
Serradilla, F. [1 ,3 ]
Calvo, O. [1 ]
机构：
[1] Univ Politecn Madrid, Dpto Sistemas Inteligentes Aplicados, Madrid, Spain
[2] Tech Univ Madrid UPM, Madrid, Spain
[3] UPM Res Grp Intelligent Agents & Ubiquitous Comp, Madrid, Spain
来源：
EXPERT SYSTEMS | 2011年 / 28卷 / 04期
关键词：
knowledge-based systems; fuzzy control; evolutionary computation; intelligent agents; metabots; virtual worlds; second life; metaverses; EVOLUTIONARY ALGORITHMS; CONTEXT INFORMATION; MODEL;
D O I：
10.1111/j.1468-0394.2011.00595.x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：339 / 352
页数：14
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