Agent-Based Knowledge Discovery

W. H. E. Davies; Peter Edwards

Agent-Based Knowledge Discovery

W. H. E. Davies, Peter Edwards

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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Abstract

Agent-Based Knowledge Discovery provides a new technique for performing data-mining over distributed databases. By combining techniques from Distributed AI and Machine Learning, software agents equipped with learning algorithms mine local databases. These agents then co-operate to integrate the knowledge obtained, before presenting the results to the user. We are currently exploring the use of a new software agent language, Agent-K and the application of first order learning techniques to data-mining. However, the main area of investigation is how the agents should interact, and how the knowledge should be integrated.

Original language	English
Title of host publication	Proceedings of AAAI 1995 Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments
Editors	Craig Knoblock, Alon Levy
Publisher	AAAI Press
Pages	34-37
Volume	SS-95-08
ISBN (Print)	978-0-929280-91-2
Publication status	Published - 1995

Keywords

machine learning
intelligent agent
distributed learning

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davies-ss-95Accepted author manuscript, 18.6 KBLicence: Unspecified

https://www.aaai.org/Papers/Symposia/Spring/1995/SS-95-08/SS95-08-007.pdfLicence: Unspecified

Cite this

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title = "Agent-Based Knowledge Discovery",

abstract = "Agent-Based Knowledge Discovery provides a new technique for performing data-mining over distributed databases. By combining techniques from Distributed AI and Machine Learning, software agents equipped with learning algorithms mine local databases. These agents then co-operate to integrate the knowledge obtained, before presenting the results to the user. We are currently exploring the use of a new software agent language, Agent-K and the application of first order learning techniques to data-mining. However, the main area of investigation is how the agents should interact, and how the knowledge should be integrated.",

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author = "Davies, {W. H. E.} and Peter Edwards",

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AU - Edwards, Peter

PY - 1995

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N2 - Agent-Based Knowledge Discovery provides a new technique for performing data-mining over distributed databases. By combining techniques from Distributed AI and Machine Learning, software agents equipped with learning algorithms mine local databases. These agents then co-operate to integrate the knowledge obtained, before presenting the results to the user. We are currently exploring the use of a new software agent language, Agent-K and the application of first order learning techniques to data-mining. However, the main area of investigation is how the agents should interact, and how the knowledge should be integrated.

AB - Agent-Based Knowledge Discovery provides a new technique for performing data-mining over distributed databases. By combining techniques from Distributed AI and Machine Learning, software agents equipped with learning algorithms mine local databases. These agents then co-operate to integrate the knowledge obtained, before presenting the results to the user. We are currently exploring the use of a new software agent language, Agent-K and the application of first order learning techniques to data-mining. However, the main area of investigation is how the agents should interact, and how the knowledge should be integrated.

KW - machine learning

KW - intelligent agent

KW - distributed learning

M3 - Published conference contribution

SN - 978-0-929280-91-2

VL - SS-95-08

SP - 34

EP - 37

BT - Proceedings of AAAI 1995 Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments

A2 - Knoblock, Craig

A2 - Levy, Alon

PB - AAAI Press

ER -

Agent-Based Knowledge Discovery

Abstract

Keywords

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