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TraderBots: A new paradigm for robu...

Dias, M. Bernardine.

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TraderBots: A new paradigm for robust and efficient multirobot coordination in dynamic environments.

Record Type:	Electronic resources : Monograph/item
Title/Author:	TraderBots: A new paradigm for robust and efficient multirobot coordination in dynamic environments./
Author:	Dias, M. Bernardine.
Description:	144 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1398.
Contained By:	Dissertation Abstracts International65-03B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3126923
ISBN:	0496741896

TraderBots: A new paradigm for robust and efficient multirobot coordination in dynamic environments.
Dias, M. Bernardine.

TraderBots: A new paradigm for robust and efficient multirobot coordination in dynamic environments. - 144 p.

Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1398.

Thesis (Ph.D.)--Carnegie Mellon University, 2004.

The challenge of efficient multirobot coordination has risen to the forefront of robotics research in recent years. The wide range of applications demanding multirobot solutions motivates interest in this problem. In general, multirobot coordina

ISBN: 0496741896Subjects--Topical Terms:

626642
Computer Science.

TraderBots: A new paradigm for robust and efficient multirobot coordination in dynamic environments.
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100 1 $a Dias, M. Bernardine. $3 1930310
245 1 0 $a TraderBots: A new paradigm for robust and efficient multirobot coordination in dynamic environments.
300 $a 144 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1398.
500 $a Chair: Anthony Stentz.
502 $a Thesis (Ph.D.)--Carnegie Mellon University, 2004.
520 $a The challenge of efficient multirobot coordination has risen to the forefront of robotics research in recent years. The wide range of applications demanding multirobot solutions motivates interest in this problem. In general, multirobot coordina
520 $a This work develops TraderBots, a market-based coordination approach that is inherently distributed, but can also opportunistically form centralized subgroups to improve efficiency. Robots are self-interested with the primary goal of maximizing i
590 $a School code: 0041.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, General. $3 1020744
650 4 $a Artificial Intelligence. $3 769149
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690 $a 0537
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710 2 0 $a Carnegie Mellon University. $3 1018096
773 0 $t Dissertation Abstracts International $g 65-03B.
790 1 0 $a Stentz, Anthony, $e advisor
790 $a 0041
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3126923