%0 Journal Article 
%A Lozano Ibáñez, Miguel
%A Grimaldo Moreno, Francisco
%A Molina Vilaplana, Javier
%T Towards reactive navigation and attention skills for 3D intelligent characters
%D 2003
%U http://hdl.handle.net/10317/1069
%X This paper presents a neural design which is able to provide
the necessary reactive navigation and attention skills for 3D embodied
agents (virtual humanoids or characters). Based on Grossberg’s
neural model of conditioning [6], as recently implemented by Chang
and Gaudiando [7], and according to the Adaptative Resonance Theory
(ART) and the neuroscientific concepts associated, the neural design
introduced has been divided in two main phases. Firstly, an environmentcategorization
phase, where an on-line pattern recognition and categorization
of the current agent sensory input data is carried out by a self
organizing neural network, which will finally provide the agent’s short
term memory layer(STM). Secondly, and based on the classical conditioning
paradigm, the model will associate the interesting STM states,
from the navigation or attention points of view, to finally simulate these
necessary skills for 3D characters or humanoids. Finally, we will show
some experimental navigational results, through the integration of the
model presented in 3D virtual environments.
%K Ingeniería de Sistemas y Automática
%K Diseño neuronal
%K Entornos virtuales 3D
%K Teoría de resonancia adaptativa
%K Caracteres inteligentes en 3D
%K Robótica inteligente
%K Entornos virtuales inteligentes
%K Neural design
%K 3D virtual environments
%K Adaptative Resonance Theory (ART)
%K Intelligent 3D characters
%K Intelligent robotics
%K Intelligent virtual environments(IVE)
%~ GOEDOC, SUB GOETTINGEN