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Can a meta-cognitive model for a mixed-motive bargaining task outperform humans when contesting human players?

Top, J.D. (2015) Can a meta-cognitive model for a mixed-motive bargaining task outperform humans when contesting human players? Bachelor's Thesis, Artificial Intelligence.

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Abstract

In this paper we investigate the question: Can a meta-cognitive model for a mixed-motive bargaining task outperform humans when contesting human players?". In our experiment two parties had to negotiate, with a computer model taking the role of one of the negotiators on half of our trials. Participants were asked to rate their counterpart's agreeability, without knowing whether this was a human or the model. No significant difference in agreeability and absolute score was found, yet the model gained a significantly higher relative score. These findings suggest that even if it only helps to improve relative economical gains, teaching people the meta-cognitive strategy can help them become better negotiators, and will not impair their performance on other relevant performance measures.

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
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/12969

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