國立虎尾科技大學 |

Goal-Based Agent Design : = Decision Making in General Game Playing.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Goal-Based Agent Design :/
其他題名:	Decision Making in General Game Playing.
作者:	Sheng, Xinxin.
面頁冊數:	1 online resource (180 pages)
附註:	Source: Dissertation Abstracts International, Volume: 73-05, Section: B, page: 3052.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9781267176752

Goal-Based Agent Design : = Decision Making in General Game Playing.
Sheng, Xinxin.

Goal-Based Agent Design :Decision Making in General Game Playing. - 1 online resource (180 pages)

Source: Dissertation Abstracts International, Volume: 73-05, Section: B, page: 3052.

Thesis (Ph.D.)--North Carolina State University, 2011.

Includes bibliographical references

General Game Playing's primary research thrust is building automated intelligent computer agents that accept declarative descriptions of arbitrary games at run-time and are capable of using such descriptions to play effectively without human intervention. The research in general game playing approximates human cognitive processes, sophisticated planning, and problem solving with an instant reward system represented in games. General game playing has well-recognized research areas with diverse topics including knowledge representation, search, strategic planning, and machine learning. It attacks the general intelligence problem that Artificial Intelligence researchers have made little progress on for the last several decades. We have designed and implemented an automated goal-based general game playing agent that is capable of playing most games written in the Game Description Language and has shown excellent results for general-purpose learning in the general game playing environment. Our contributions include: the general game playing agent designed to play a wide variety of games, the knowledge reasoning performance improvement algorithm, the run-time feature identification algorithm, the contextual decision-making algorithm, and the GDL extension to enrich the game domain.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781267176752Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Goal-Based Agent Design : = Decision Making in General Game Playing.
LDR:02423ntm a2200313K 4500 001 915386
005 20180727125214.5
006 m o u
007 cr mn||||a|a||
008 190606s2011 xx obm 000 0 eng d
020 $a 9781267176752
035 $a (MiAaPQ)AAI3497189
035 $a AAI3497189
040 $a MiAaPQ $b eng $c MiAaPQ
100 1 $a Sheng, Xinxin. $3 1188719
245 1 0 $a Goal-Based Agent Design : $b Decision Making in General Game Playing.
264 0 $c 2011
300 $a 1 online resource (180 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 73-05, Section: B, page: 3052.
500 $a Adviser: David Thuente.
502 $a Thesis (Ph.D.)--North Carolina State University, 2011.
504 $a Includes bibliographical references
520 $a General Game Playing's primary research thrust is building automated intelligent computer agents that accept declarative descriptions of arbitrary games at run-time and are capable of using such descriptions to play effectively without human intervention. The research in general game playing approximates human cognitive processes, sophisticated planning, and problem solving with an instant reward system represented in games. General game playing has well-recognized research areas with diverse topics including knowledge representation, search, strategic planning, and machine learning. It attacks the general intelligence problem that Artificial Intelligence researchers have made little progress on for the last several decades. We have designed and implemented an automated goal-based general game playing agent that is capable of playing most games written in the Game Description Language and has shown excellent results for general-purpose learning in the general game playing environment. Our contributions include: the general game playing agent designed to play a wide variety of games, the knowledge reasoning performance improvement algorithm, the run-time feature identification algorithm, the contextual decision-making algorithm, and the GDL extension to enrich the game domain.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Computer engineering. $3 569006
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0464
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a North Carolina State University. $3 845424
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3497189 $z click for full text (PQDT)