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Computational Models of Motivation for Game-Playing Agents (Hardcover, 1st ed. 2016)
Loot Price: R3,302
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Computational Models of Motivation for Game-Playing Agents (Hardcover, 1st ed. 2016)
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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.
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