TY  - BOOK
AU  - Merrick,Kathryn E.
ED  - SpringerLink (Online service)
TI  - Computational Models of Motivation for Game-Playing Agents
SN  - 9783319334592
AV  - Q334-342 
U1  - 006.3 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Data mining
KW  - Artificial intelligence
KW  - Computational intelligence
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computational Intelligence
KW  - Data Mining and Knowledge Discovery
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-33459-2
ER  -