東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Impact of heuristic knowledge discov...

Lazar, Alina.

FindBook

Google Book

Amazon

博客來

Impact of heuristic knowledge discovery techniques on multi-agent simulation of cultural evolution.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Impact of heuristic knowledge discovery techniques on multi-agent simulation of cultural evolution./
作者:	Lazar, Alina.
面頁冊數:	176 p.
附註:	Adviser: Robert G. Reynolds.
Contained By:	Dissertation Abstracts International63-03B.
標題:	Anthropology, Archaeology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3047565
ISBN:	0493620559

Impact of heuristic knowledge discovery techniques on multi-agent simulation of cultural evolution.
Lazar, Alina.

Impact of heuristic knowledge discovery techniques on multi-agent simulation of cultural evolution. - 176 p.

Adviser: Robert G. Reynolds.

Thesis (Ph.D.)--Wayne State University, 2002.

The goal for of this research is to investigate and develop heuristic tools in order to extract meaningful knowledge or ontology from archeological large-scale data sets for the archaic state multi-agent based simulation of the Valley of Oaxaca. We are interested in developing rules that constrain the actions that the agents can take within their physical environment. The data used to constitute this ontology will be taken from the Oaxaca Valley Surface Survey. The knowledge is extracted the data set via Data Mining techniques.

ISBN: 0493620559Subjects--Topical Terms:

622985
Anthropology, Archaeology.

Impact of heuristic knowledge discovery techniques on multi-agent simulation of cultural evolution.
LDR:02189nam 2200289 a 45 001 929578
005 20110427
008 110427s2002 eng d
020 $a 0493620559
035 $a (UnM)AAI3047565
035 $a AAI3047565
040 $a UnM $c UnM
100 1 $a Lazar, Alina. $3 1253067
245 1 0 $a Impact of heuristic knowledge discovery techniques on multi-agent simulation of cultural evolution.
300 $a 176 p.
500 $a Adviser: Robert G. Reynolds.
500 $a Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1429.
502 $a Thesis (Ph.D.)--Wayne State University, 2002.
520 $a The goal for of this research is to investigate and develop heuristic tools in order to extract meaningful knowledge or ontology from archeological large-scale data sets for the archaic state multi-agent based simulation of the Valley of Oaxaca. We are interested in developing rules that constrain the actions that the agents can take within their physical environment. The data used to constitute this ontology will be taken from the Oaxaca Valley Surface Survey. The knowledge is extracted the data set via Data Mining techniques.
520 $a This task is done via two evolutionary guided machine-learning techniques, Decision Tree Induction and Rough Sets. Decision Tree induction is guided by Cultural Algorithms while Rough Set Induction is guided by Genetic Algorithms. Decision Tree and Rough Set inductive learning techniques make different assumptions about the nature of the data and are designed to complement each other. The Decision Tree approach assumes that the values and precise whereas the Rough Set approach assumed some uncertainty in the data description. Each of these approaches will be used to extract rules and then thy are compared syntactically and semantically. The better rules will be used to constrain the agents' behavior within the environment.
590 $a School code: 0254.
650 4 $a Anthropology, Archaeology. $3 622985
650 4 $a Computer Science. $3 626642
690 $a 0324
690 $a 0984
710 2 0 $a Wayne State University. $3 975058
773 0 $t Dissertation Abstracts International $g 63-03B.
790 $a 0254
790 1 0 $a Reynolds, Robert G., $e advisor
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3047565