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Solving distributed, non-cooperative...

Eddy, John.

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Solving distributed, non-cooperative design problems using multi-agent systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Solving distributed, non-cooperative design problems using multi-agent systems./
Author:	Eddy, John.
Description:	187 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6873.
Contained By:	Dissertation Abstracts International66-12B.
Subject:	Engineering, Mechanical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3203950
ISBN:	9780542498404

Solving distributed, non-cooperative design problems using multi-agent systems.
Eddy, John.

Solving distributed, non-cooperative design problems using multi-agent systems. - 187 p.

Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6873.

Thesis (Ph.D.)--State University of New York at Buffalo, 2006.

The solution to many real world engineering problems requires decomposition of an overall system into two or more subsystems. This decomposition typically occurs along disciplinary boundaries. It is common for each of these decomposed subsystem problems to be solved by different contractors that may be different organizations, separate groups within an organization, etc. Even if they are completely independent entities, they are bound to each other by the shared responsibility to build a single artifact. As a result, the actions and decisions of each contractor are likely to have a powerful effect on the actions and decisions of the others.

ISBN: 9780542498404Subjects--Topical Terms:

783786
Engineering, Mechanical.

Solving distributed, non-cooperative design problems using multi-agent systems.
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020 $a 9780542498404
035 $a (UnM)AAI3203950
035 $a AAI3203950
040 $a UnM $c UnM
100 1 $a Eddy, John. $3 928847
245 1 0 $a Solving distributed, non-cooperative design problems using multi-agent systems.
300 $a 187 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6873.
500 $a Adviser: Kemper E. Lewis.
502 $a Thesis (Ph.D.)--State University of New York at Buffalo, 2006.
520 $a The solution to many real world engineering problems requires decomposition of an overall system into two or more subsystems. This decomposition typically occurs along disciplinary boundaries. It is common for each of these decomposed subsystem problems to be solved by different contractors that may be different organizations, separate groups within an organization, etc. Even if they are completely independent entities, they are bound to each other by the shared responsibility to build a single artifact. As a result, the actions and decisions of each contractor are likely to have a powerful effect on the actions and decisions of the others.
520 $a This work focuses on solving the optimization problems resulting from this decomposition under the circumstances where the individual design teams are unwilling or unable to share any information regarding their analysis process. With this restriction, the final overall designs are seldom optimal in a multiobjective sense.
520 $a The primary technology used to implement this new solution technique is multi-agent systems (MAS). The technique is shown to produce solutions that perform well when compared to two benchmarks for these problems; the Nash equilibrium solution(s) and the Pareto optimal solutions. Of the five case studies presented, the Nash solutions are equaled or bested on average for all and Pareto optimal solutions are commonly achieved.
590 $a School code: 0656.
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0548
710 2 0 $a State University of New York at Buffalo. $3 1017814
773 0 $t Dissertation Abstracts International $g 66-12B.
790 1 0 $a Lewis, Kemper E., $e advisor
790 $a 0656
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3203950