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Profiles of Achievement, Affiliation and Power Motivation

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Computational Models of Motivation for Game-Playing Agents
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Abstract

In this chapter, three profiles of achievement , affiliation and power motivation are introduced for two different games: roulette and the prisoners’ dilemma game. These profiles are tuned for agents playing roulette using a genetic algorithm, and then further examined in agents playing the prisoners’ dilemma game . We again demonstrate the similarities that can be observed between motivated game-playing agents and humans playing the same games. We show that we can create a diverse group of agents that compete or cooperate in different ways when playing games, and that models tuned on one game can be used in agents playing another game.

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Correspondence to Kathryn E. Merrick .

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Merrick, K.E. (2016). Profiles of Achievement, Affiliation and Power Motivation. In: Computational Models of Motivation for Game-Playing Agents. Springer, Cham. https://doi.org/10.1007/978-3-319-33459-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-33459-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33457-8

  • Online ISBN: 978-3-319-33459-2

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