Authors:
- Focuses on three influential cognitive motives: achievement, affiliation, and power motivation
- Addresses practical issues for defining games, mini-games and in-game scenarios for virtual worlds
- Useful for game programmers and artificial intelligence researchers
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Game Playing in Virtual Worlds by Humans and Agents
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Front Matter
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Comparing Human and Artificial Motives
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Front Matter
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Game Scenarios for Motivated Agents
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Front Matter
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Evolution and the Future of Motivated Agents
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Front Matter
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Back Matter
About this book
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.
Reviews
“This is an interesting book on an interesting topic. It would be of interest to many in the field of AI, particularly those in multiagent systems and game playing.” (Computing Reviews, June, 2017)
Authors and Affiliations
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School of Eng. & Inform. Technol., University of New South Wales Australian Defence Force Academy, Canberra, Australia
Kathryn E. Merrick
Bibliographic Information
Book Title: Computational Models of Motivation for Game-Playing Agents
Authors: Kathryn E. Merrick
DOI: https://doi.org/10.1007/978-3-319-33459-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Hardcover ISBN: 978-3-319-33457-8Published: 30 September 2016
Softcover ISBN: 978-3-319-81518-3Published: 14 June 2018
eBook ISBN: 978-3-319-33459-2Published: 22 September 2016
Edition Number: 1
Number of Pages: XVII, 213
Number of Illustrations: 43 b/w illustrations, 23 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Data Mining and Knowledge Discovery