Multi-agent accumulator-based decision-making model of incivility (MADI)

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Abstract

While behaviour can either be perceived as respectful or disrespectful, incivility reflects relatively minor violations of social norms within a group. In the present study, we used an accumulator-based model of decision-making, assuming that social agents attempt to classify behaviour as respectful or disrespectful based on available social cues and reciprocate toward other group members once a criterion amount of evidence is accumulated. Perceived incivility is derived from the model by taking the balance of evidence of the respectful and disrespectful social cues, reflecting uncertainty in decision-making. In multi-agent interactions, the model averages perceived incivility (i.e., uncertainty) over multiple trials. We demonstrate that this model can differentiate between attitudes and behavior in a single social agent as well as how incivility can arise within a group as a result of small differences in response threshold to disrespectful behaviour and biases in social cue identification accuracy.

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Schoenherr, J. R., & Nguyen, K. (2018). Multi-agent accumulator-based decision-making model of incivility (MADI). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10899 LNCS, pp. 76–81). Springer Verlag. https://doi.org/10.1007/978-3-319-93372-6_9

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