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

設(shè)想

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.

強(qiáng)制性

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.

尋找

Irascible

EnemiesPart III of this book describes a range of in-game scenarios or mini-games that are appropriate for different types of motivated agents.

有常識(shí)

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.

一再困擾

Support CharactersSupport characters are the innkeepers, drunks, blacksmiths, tailors, alchemists, merchants, soldiers and craftspeople who support the plot of a game.

無法取消

cochlea

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.

Endometrium

Pde5-Inhibitors