The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 20-700
Full Name: Kieran Greer
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: Distributed Computing Systems, Belfast
Country: UNITED KINGDOM
Tel: 07854949278
Tel prefix: 0044
Fax:
E-mail address: kgreer@distributedcomputingsystems.co.uk
Other E-mails: kieran.greer@ntlworld.com
Title of the Paper: Symbolic Neural Networks for Clustering Higher-Level Concepts
Authors as they appear in the Paper: Kieran Greer
Email addresses of all the authors: kgreer@distributedcomputingsystems.co.uk
Number of paper pages: 9
Abstract: Previous work has described linking mechanisms and how they might be used in a cognitive model that could even begin to think [6][7][8]. One key problem is enabling the system to autonomously form its own concept structures from the information that is presented. This is particularly difficult if the information is unstructured, for example, individual concept values being presented in unstructured groups. This paper suggests an addition to the current model that would allow it to filter the unstructured information to form higher-level concept chains that would represent something in the real world. The new architecture also starts to resemble a traditional feedforward neural network, suggesting what future directions the research might take. This extended version of the paper includes results from some clustering tests, considers applications for the model and takes a closer look at the intelligence side of things.
Keywords: Autonomic, Higher-level concept, Dynamic link, Neural network, Concept base
EXTENSION of the file: .pdf
Special (Invited) Session: Clustering Concepts into Higher-Level Entities using Neural Network-like Structures
Organizer of the Session: 510-094
How Did you learn about congress:
IP ADDRESS: 82.4.32.113
