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Adversarial Search and Spatial Reaso...

ProQuest Information and Learning Co.

Adversarial Search and Spatial Reasoning in Real Time Strategy Games.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Adversarial Search and Spatial Reasoning in Real Time Strategy Games./
Author:	Uriarte, Alberto.
Description:	1 online resource (125 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
Contained By:	Dissertation Abstracts International78-12B(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780355080001

Adversarial Search and Spatial Reasoning in Real Time Strategy Games.
Uriarte, Alberto.

Adversarial Search and Spatial Reasoning in Real Time Strategy Games. - 1 online resource (125 pages)

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.

Thesis (Ph.D.)--Drexel University, 2017.

Includes bibliographical references

For many years, Chess was the standard game to test new Artificial Intelligence (AI) algorithms for achieving robust game-playing agents capable of defeating the best human players. Nowadays, games like Go or Poker are used since they offer new challenges like larger state spaces, or non-determinism. Among these testbed games, Real-Time Strategy (RTS) games have raised as one of the most challenging. The unique properties of RTS games (simultaneous and durative actions, large state spaces, partial observability) make them a perfect scenario to test algorithms able to make decisions in dynamic and complex situations. This thesis makes a contribution towards achieving human-level AI in these complex games. Specifically, I focus on the problems of performing adversarial search in domains (1) with extremely large decision and state spaces, (2) where no forward model is available, and (3) the game state is partially observable. Additionally, I also study how spatial reasoning can be used to reduce the search space and to improve the RTS playing bots.

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

Mode of access: World Wide Web

ISBN: 9780355080001Subjects--Topical Terms:

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

554714
Electronic books.

Adversarial Search and Spatial Reasoning in Real Time Strategy Games.
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100 1 $a Uriarte, Alberto. $3 1190624
245 1 0 $a Adversarial Search and Spatial Reasoning in Real Time Strategy Games.
264 0 $c 2017
300 $a 1 online resource (125 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
500 $a Adviser: Santiago Ontanon.
502 $a Thesis (Ph.D.)--Drexel University, 2017.
504 $a Includes bibliographical references
520 $a For many years, Chess was the standard game to test new Artificial Intelligence (AI) algorithms for achieving robust game-playing agents capable of defeating the best human players. Nowadays, games like Go or Poker are used since they offer new challenges like larger state spaces, or non-determinism. Among these testbed games, Real-Time Strategy (RTS) games have raised as one of the most challenging. The unique properties of RTS games (simultaneous and durative actions, large state spaces, partial observability) make them a perfect scenario to test algorithms able to make decisions in dynamic and complex situations. This thesis makes a contribution towards achieving human-level AI in these complex games. Specifically, I focus on the problems of performing adversarial search in domains (1) with extremely large decision and state spaces, (2) where no forward model is available, and (3) the game state is partially observable. Additionally, I also study how spatial reasoning can be used to reduce the search space and to improve the RTS playing bots.
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 Artificial intelligence. $3 559380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0800
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Drexel University. $b Computer Science. $3 1187050
773 0 $t Dissertation Abstracts International $g 78-12B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10289603 $z click for full text (PQDT)

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