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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References
R. Boyle, P. Bonacich, The development of trust and mistrust in mixed-motive games. Sociometry 33, 123–139 (1970)
J. Heckhausen, H. Heckhausen, Motivation and Action (Cambridge University Press, New York, NY, 2010)
S. Li, Z.-J. Wang, Y.-M. Li, Is there a violoation of Savage’s sure thing principle in the prisoner’s dilemma game? Adapt. Behav. 18, 377–385 (2010)
J. McClelland, R.I. Watson, Power motivation and risk-taking behaviour. J. Pers. 41, 121–139 (1973)
K. Merrick, K. Shafi, Achievement, affiliation and power: motive profiles for artificial agents. Adapt Behav. 19, 40–62 (2011)
W. Poundstone, Prisoner’s Dilemma (Doubleday, New York, NY, 1992)
K.W. Terhune, Motives, situation and interpersonal conflict within prisoner’s dilemma. J. Pers. Soc. Psychol. Monogr. Suppl. 8, 1–24 (1968)
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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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