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

Computational models of motivation f...

Merrick, Kathryn E.

FindBook

Google Book

Amazon

博客來

Computational models of motivation for game playing agents

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational models of motivation for game playing agents/ by Kathryn E. Merrick.
作者:	Merrick, Kathryn E.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xvii, 213 p. :ill., digital ;24 cm.
內容註:	From Player Types to Motivation -- Computational Models of Achievement, Affiliation, and Power Motivation -- Game Playing Agents and Non-player Characters -- Achievement Motivation -- Profiles of Achievement, Affiliation, and Power Motivation -- Enemies -- Pets and Partner Characters -- Support Characters -- Evolution of Motivated Agents -- Conclusion and Future Work.
Contained By:	Springer eBooks
標題:	Intelligent agents (Computer software) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-33459-2
ISBN:	9783319334592$q(electronic bk.)

Computational models of motivation for game playing agents
Merrick, Kathryn E.

Computational models of motivation for game playing agents[electronic resource] /by Kathryn E. Merrick. - Cham :Springer International Publishing :2016. - xvii, 213 p. :ill., digital ;24 cm.

From Player Types to Motivation -- Computational Models of Achievement, Affiliation, and Power Motivation -- Game Playing Agents and Non-player Characters -- Achievement Motivation -- Profiles of Achievement, Affiliation, and Power Motivation -- Enemies -- Pets and Partner Characters -- Support Characters -- Evolution of Motivated Agents -- Conclusion and Future Work.

The focus of this book is on three influential cognitive motives: achievement, affiliation, and power motivation. Incentive-based theories of achievement, affiliation and power motivation are the basis for competence-seeking behaviour, relationship-building, leadership, and resource-controlling behaviour in humans. In this book we show how these motives can be modelled and embedded in artificial agents to achieve behavioural diversity. Theoretical issues are addressed for representing and embedding computational models of motivation in rule-based agents, learning agents, crowds and evolution of motivated agents. Practical issues are addressed for defining games, mini-games or in-game scenarios for virtual worlds in which computer-controlled, motivated agents can participate alongside human players. The book is structured into four parts: game playing in virtual worlds by humans and agents; comparing human and artificial motives; game scenarios for motivated agents; and evolution and the future of motivated game-playing agents. It will provide game programmers, and those with an interest in artificial intelligence, with the knowledge required to develop diverse, believable game-playing agents for virtual worlds.

ISBN: 9783319334592$q(electronic bk.)

Standard No.: 10.1007/978-3-319-33459-2doiSubjects--Topical Terms:

567546
Intelligent agents (Computer software)

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

Computational models of motivation for game playing agents
LDR:02570nmm a2200325 a 4500 001 2052362
003 DE-He213
005 20160922103356.0
006 m d
007 cr nn 008maaau
008 170421s2016 gw s 0 eng d
020 $a 9783319334592$q(electronic bk.)
020 $a 9783319334578$q(paper)
024 7 $a 10.1007/978-3-319-33459-2 $2 doi
035 $a 978-3-319-33459-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.I58
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a QA76.76.I58 $b M568 2016
100 1 $a Merrick, Kathryn E. $3 3135606
245 1 0 $a Computational models of motivation for game playing agents $h [electronic resource] / $c by Kathryn E. Merrick.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xvii, 213 p. : $b ill., digital ; $c 24 cm.
505 0 $a From Player Types to Motivation -- Computational Models of Achievement, Affiliation, and Power Motivation -- Game Playing Agents and Non-player Characters -- Achievement Motivation -- Profiles of Achievement, Affiliation, and Power Motivation -- Enemies -- Pets and Partner Characters -- Support Characters -- Evolution of Motivated Agents -- Conclusion and Future Work.
520 $a The focus of this book is on three influential cognitive motives: achievement, affiliation, and power motivation. Incentive-based theories of achievement, affiliation and power motivation are the basis for competence-seeking behaviour, relationship-building, leadership, and resource-controlling behaviour in humans. In this book we show how these motives can be modelled and embedded in artificial agents to achieve behavioural diversity. Theoretical issues are addressed for representing and embedding computational models of motivation in rule-based agents, learning agents, crowds and evolution of motivated agents. Practical issues are addressed for defining games, mini-games or in-game scenarios for virtual worlds in which computer-controlled, motivated agents can participate alongside human players. The book is structured into four parts: game playing in virtual worlds by humans and agents; comparing human and artificial motives; game scenarios for motivated agents; and evolution and the future of motivated game-playing agents. It will provide game programmers, and those with an interest in artificial intelligence, with the knowledge required to develop diverse, believable game-playing agents for virtual worlds.
650 0 $a Intelligent agents (Computer software) $3 567546
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-33459-2
950 $a Computer Science (Springer-11645)