A Situated Information Articulation Neural Network: VSF Network

Authors:
Yoshitsugu Kakemoto;Shinichi Nakasuka
Affiliations:
-;-
Venue:
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Year:
1999

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Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations

Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Original Contribution: Dynamic link of memory-Chaotic memory map in nonequilibrium neural networks

Neural Networks

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Abstract

when a system will recognize the world around one, system requires segmenting or articulating information of the world. In this paper, we introduce a neural network model called VSF network for situated articulation. At first, we discuss situation and its relation to information coding. Next, we introduce the architecture and main procedure of the VSF network. Finally, we examine the validity of VSF-network model through the experiment which applies the VSF-network to a path planning task of a rover.