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

Citation patterns in the artificial ...

Khawam, Yves Jean.

FindBook

Google Book

Amazon

博客來

Citation patterns in the artificial intelligence journal literature: A study in the determination of an interdisciplinary research base.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Citation patterns in the artificial intelligence journal literature: A study in the determination of an interdisciplinary research base./
作者:	Khawam, Yves Jean.
面頁冊數:	153 p.
附註:	Source: Dissertation Abstracts International, Volume: 51-04, Section: A, page: 1033.
Contained By:	Dissertation Abstracts International51-04A.
標題:	Library Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9025727

Citation patterns in the artificial intelligence journal literature: A study in the determination of an interdisciplinary research base.
Khawam, Yves Jean.

Citation patterns in the artificial intelligence journal literature: A study in the determination of an interdisciplinary research base. - 153 p.

Source: Dissertation Abstracts International, Volume: 51-04, Section: A, page: 1033.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 1990.

This study proposed to determine whether the disciplines contributing to the journal literature of artificial intelligence (AI) share a common AI research base, or whether their AI research bases are discipline-specific. More precisely, the patterns in which three AI contributing fields (the sciences, social sciences, and humanities) cite themselves and others have been cross-analyzed so as to determine: (1) the differences among the three fields regarding the characteristics of each field's research base and focus within the AI journal literature, and (2) the extent to which that intersecting interdisciplinary area is employed by AI researchers. Hypotheses were analyzed across the three fields on the dependent variables of: field cross-citation rate, field cross-citation diversity, journal citation rate, proceeding citation rate, and age of cited literature, and the interdisciplinary AI research base was mapped out. Principal findings included: (1) the sciences tended to be the most parochial of the three fields in their use of AI literature, and (2) the idea of AI consisting of a completely interdisciplinary endeavor was refuted since the area candidate for an interdisciplinary research base resulted in a maximum extent of 0.1 percent of the research base proper to each field. The implication of such findings is that the overall mission of AI, the movement toward the creation of artificial intelligence, may be undermined by allowing disciplinary fragmentation to cloud the long-term conceptual goals. This study, however, makes no attempt to address this implication, but lays down the ground for it in terms of elucidating the various characteristics of the AI research bases.Subjects--Topical Terms:

881164
Library Science.

Citation patterns in the artificial intelligence journal literature: A study in the determination of an interdisciplinary research base.
LDR:02622nmm 2200253 4500 001 1861484
005 20041117064925.5
008 130614s1990 eng d
035 $a (UnM)AAI9025727
035 $a AAI9025727
040 $a UnM $c UnM
100 1 $a Khawam, Yves Jean. $3 1949082
245 1 0 $a Citation patterns in the artificial intelligence journal literature: A study in the determination of an interdisciplinary research base.
300 $a 153 p.
500 $a Source: Dissertation Abstracts International, Volume: 51-04, Section: A, page: 1033.
500 $a Supervisor: Richard D. Walker.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 1990.
520 $a This study proposed to determine whether the disciplines contributing to the journal literature of artificial intelligence (AI) share a common AI research base, or whether their AI research bases are discipline-specific. More precisely, the patterns in which three AI contributing fields (the sciences, social sciences, and humanities) cite themselves and others have been cross-analyzed so as to determine: (1) the differences among the three fields regarding the characteristics of each field's research base and focus within the AI journal literature, and (2) the extent to which that intersecting interdisciplinary area is employed by AI researchers. Hypotheses were analyzed across the three fields on the dependent variables of: field cross-citation rate, field cross-citation diversity, journal citation rate, proceeding citation rate, and age of cited literature, and the interdisciplinary AI research base was mapped out. Principal findings included: (1) the sciences tended to be the most parochial of the three fields in their use of AI literature, and (2) the idea of AI consisting of a completely interdisciplinary endeavor was refuted since the area candidate for an interdisciplinary research base resulted in a maximum extent of 0.1 percent of the research base proper to each field. The implication of such findings is that the overall mission of AI, the movement toward the creation of artificial intelligence, may be undermined by allowing disciplinary fragmentation to cloud the long-term conceptual goals. This study, however, makes no attempt to address this implication, but lays down the ground for it in terms of elucidating the various characteristics of the AI research bases.
590 $a School code: 0262.
650 4 $a Library Science. $3 881164
690 $a 0399
710 2 0 $a The University of Wisconsin - Madison. $3 626640
773 0 $t Dissertation Abstracts International $g 51-04A.
790 1 0 $a Walker, Richard D., $e advisor
790 $a 0262
791 $a Ph.D.
792 $a 1990
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9025727