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Titlebook: Computational Models of Motivation for Game-Playing Agents; Kathryn E. Merrick Book 2016 Springer International Publishing AG 2016 Artific

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樓主: Negate
21#
發(fā)表于 2025-3-25 03:26:05 | 只看該作者
From Player Types to MotivationThe first part of this book studies the relationship between game play and motivation in humans and proposes ways that motivation can be represented and embedded in artificial agents.
22#
發(fā)表于 2025-3-25 11:13:33 | 只看該作者
Computational Models of Achievement, Affiliation and Power MotivationChapter . examined literature from motivation psychology and reviewed the theories that may contribute to different game-play characteristics in humans.
23#
發(fā)表于 2025-3-25 14:08:47 | 只看該作者
24#
發(fā)表于 2025-3-25 18:30:46 | 只看該作者
EnemiesPart III of this book describes a range of in-game scenarios or mini-games that are appropriate for different types of motivated agents.
25#
發(fā)表于 2025-3-25 21:01:03 | 只看該作者
Pets and Partner CharactersIn this chapter we explore the consequences when pets and partners have the option of satisfying their own motives. To this end, this chapter considers two scenarios for motivated learning agents as pets and partner characters.
26#
發(fā)表于 2025-3-26 03:46:33 | 只看該作者
Support CharactersSupport characters are the innkeepers, drunks, blacksmiths, tailors, alchemists, merchants, soldiers and craftspeople who support the plot of a game.
27#
發(fā)表于 2025-3-26 07:45:50 | 只看該作者
28#
發(fā)表于 2025-3-26 11:57:21 | 只看該作者
Conclusion and FutureComputational models of motivation have now been explored in a range of agent architectures. This book has focused on a set of four such architectures, but there is increasing recognition that motivation has a role to play in a range of different kinds of intelligent systems in the future, including computer games.
29#
發(fā)表于 2025-3-26 14:44:42 | 只看該作者
30#
發(fā)表于 2025-3-26 19:43:07 | 只看該作者
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