Computational Models of Motivation for Game-Playing Agents (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	June 2018
First published:	2016
Authors:	Kathryn E Merrick
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	213
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-81518-3
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-81518-0
Barcode:	9783319815183

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