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Effects of Feedback on Human Performance in Negotiation with a Metacognitive ACT-R Agent

Renkema, T.R.S. (2015) Effects of Feedback on Human Performance in Negotiation with a Metacognitive ACT-R Agent. Bachelor's Thesis, Artificial Intelligence.

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In this study, an experiment was conducted in which human subjects played a mixed-motive negotiation game, called Game of Nines, against a metacognitive ACT-R agent. In this game, two players had to divide up 9 points between them. The goal for both players was to get as many points as possible in order to get a higher score. The aim of this study was to examine whether participants' performance on Game of Nines could be enhanced as a result of receiving feedback. This feedback consisted of the strategy the agent was currently using and how it responded to the player's actions. The results showed an improvement over time across all participants, but no overall effect of feedback was found. However, splitting up participants into medians sorted on their obtained score did show a positive effect of feedback for the best performing subjects. These participants showed a large improvement in score over time, whereas the best performing subjects who did not receive feedback did not show any further improvement. This suggests that people do improve in negotiation by training against a metacognitive agent, but that only the best performing players in Game of Nines benefit from the feedback and adapt their own strategy to the agent's strategy. This leads to a higher score and thus to a better performance in negotiation.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 08:05
Last Modified: 15 Feb 2018 08:05

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