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

页码：339 / 352

页数：14

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