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Modelling anger caused by perceived unfairness in the game of nines

Kalter, J. (2015) Modelling anger caused by perceived unfairness in the game of nines. Master's Thesis / Essay, Artificial Intelligence.

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The current study attempts to model anger in an interactive cognitive agent. The goal of the first experiment was to find behavioural patterns caused by anger in a negotiation game called the game of nines. The anger manipulation consisted of giving false feedback to participants, which suggested that their opponent was playing unfair. Results indicated that participants reached fewer agreements, quit more trials, and had more trials ending in a timeout due to the anger. In addition, after the false feedback, participants tended to lie more and insist on an offer more often. The findings of the first experiment were modelled in the cognitive architecture ACT-R (Anderson, 1995). The results of the model indicated that it effectively simulated the findings of the first experiment. A second experiment was done to see how the model would do in a game against a participant. Results of the second experiment showed no differences in trial outcomes between the control and anger condition, but did show that the model lied more often as a result of the feedback and that participants insisted more often in the anger condition. The total scores in the second experiment showed that the model on average obtained a negative score, suggesting that it accepted too many offers that were too low. Overall, the results of the cognitive model suggest that it is possible to model behavioural results due to anger, though the results of the second experiment suggest that the model is not effective enough when playing against a person. Suggestions for future research are discussed in the discussion.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 08:24
Last Modified: 15 Feb 2018 08:24

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