System Self-Awareness Towards Deep Learning and Discovering High-Value Information

Ying Zhao; Charles Zhou

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Paper

System Self-Awareness Towards Deep Learning and Discovering High-Value Information

In European Projects in Knowledge Applications and Intelligent Systems EPS Lisbon 2016 - Volume 1, 160-179, 2015 , Lisbon, Portugal

Authors: Ying Zhao ¹ and Charles Zhou ²

Affiliations: ¹ Naval Postgraduate School, United States ; ² Quantum Intelligence, Inc., United States

Abstract: In this paper, we show a System Self-Awareness concept and theory that can be used to discover authoritative and popular information as well as emerging and anomalous information when traditional connections among information nodes (e.g., hyperlinks or citations) are not available. The different categories of information can be all high-value depending on the application requirements. A system self-Awareness is a data-driven concept to discover the uniqueness and innovative capability of a system, modeled and measured using a recursive distributed infrastructure named Collaborative Learning Agents and a deep learning method named Lexical Link Analysis. The combination of the three allows deep reinforcement learning and swarm intelligence to be extended and enhanced in a completely new perspective.

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Paper citation in several formats:

Zhao, Y. and Zhou, C. (2015). System Self-Awareness Towards Deep Learning and Discovering High-Value Information. In European Projects in Knowledge Applications and Intelligent Systems - EPS Lisbon 2016; ISBN 978-989-758-356-8, SciTePress, pages 160-179. DOI: 10.5220/0007901401600179

@conference{eps lisbon 201615,
author={Ying Zhao. and Charles Zhou.},
title={System Self-Awareness Towards Deep Learning and Discovering High-Value Information},
booktitle={European Projects in Knowledge Applications and Intelligent Systems - EPS Lisbon 2016},
year={2015},
pages={160-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007901401600179},
isbn={978-989-758-356-8},
}

TY - CONF

JO - European Projects in Knowledge Applications and Intelligent Systems - EPS Lisbon 2016
TI - System Self-Awareness Towards Deep Learning and Discovering High-Value Information
SN - 978-989-758-356-8
AU - Zhao, Y.
AU - Zhou, C.
PY - 2015
SP - 160
EP - 179
DO - 10.5220/0007901401600179
PB - SciTePress