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An approach to the development of in...

Rezazad, Hadi.

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An approach to the development of intelligent agents to assist with network configuration design problems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An approach to the development of intelligent agents to assist with network configuration design problems./
Author:	Rezazad, Hadi.
Description:	84 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-07, Section: B, page: 3374.
Contained By:	Dissertation Abstracts International64-07B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3097212

An approach to the development of intelligent agents to assist with network configuration design problems.
Rezazad, Hadi.

An approach to the development of intelligent agents to assist with network configuration design problems. - 84 p.

Source: Dissertation Abstracts International, Volume: 64-07, Section: B, page: 3374.

Thesis (Ph.D.)--George Mason University, 2003.

Network configuration design includes complex tasks that are traditionally performed by domain experts. These efforts are time-consuming, costly and typically undocumented. In this work, we propose a new and innovative approach to dealing with network configuration design tasks. Our approach relies on <italic> artificial intelligence</italic> tools that utilize advanced knowledge representation, multistrategy learning, and problem solving methods. The approach consists of the development of an intelligent agent that assists human experts to solve network configuration design problems.Subjects--Topical Terms:

626642
Computer Science.

An approach to the development of intelligent agents to assist with network configuration design problems.
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100 1 $a Rezazad, Hadi. $3 1945033
245 1 0 $a An approach to the development of intelligent agents to assist with network configuration design problems.
300 $a 84 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-07, Section: B, page: 3374.
500 $a Director: Gheorghe Tecuci.
502 $a Thesis (Ph.D.)--George Mason University, 2003.
520 $a Network configuration design includes complex tasks that are traditionally performed by domain experts. These efforts are time-consuming, costly and typically undocumented. In this work, we propose a new and innovative approach to dealing with network configuration design tasks. Our approach relies on <italic> artificial intelligence</italic> tools that utilize advanced knowledge representation, multistrategy learning, and problem solving methods. The approach consists of the development of an intelligent agent that assists human experts to solve network configuration design problems.
520 $a Throughout our effort, we studied various approaches to configuration design, formulated network configuration as a configuration design problem, specified an intelligent learning agent for network configuration design, utilized a multistrategy learning approach to develop a knowledge base for the intelligent agent which included defining an object ontology and learning rules for network configuration design, and formulated future directions to build a practical intelligent agent.
590 $a School code: 0883.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Artificial Intelligence. $3 769149
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690 $a 0790
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710 2 0 $a George Mason University. $3 1019450
773 0 $t Dissertation Abstracts International $g 64-07B.
790 1 0 $a Tecuci, Gheorghe, $e advisor
790 $a 0883
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3097212