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An Agent-Based Simulation for Investigating the Impact of Stereotypes on Task-Oriented Group Formation

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Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6589))

Abstract

In this paper, we introduce an agent-based simulation for investigating the impact of social factors on the formation and evolution of task-oriented groups. Task-oriented groups are created explicitly to perform a task, and all members derive benefits from task completion. However, even in cases when all group members act in a way that is locally optimal for task completion, social forces that have mild effects on choice of associates can have a measurable impact on task completion performance. In this paper, we show how our simulation can be used to model the impact of stereotypes on group formation. In our simulation, stereotypes are based on observable features, learned from prior experience, and only affect an agent’s link formation preferences. Even without assuming stereotypes affect the agents’ willingness or ability to complete tasks, the long-term modifications that stereotypes have on the agents’ social network impair the agents’ ability to form groups with sufficient diversity of skills, as compared to agents who form links randomly. An interesting finding is that this effect holds even in cases where stereotype preference and skill existence are completely uncorrelated.

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© 2011 Springer-Verlag Berlin Heidelberg

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Maghami, M., Sukthankar, G. (2011). An Agent-Based Simulation for Investigating the Impact of Stereotypes on Task-Oriented Group Formation. In: Salerno, J., Yang, S.J., Nau, D., Chai, SK. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2011. Lecture Notes in Computer Science, vol 6589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19656-0_36

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  • DOI: https://doi.org/10.1007/978-3-642-19656-0_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19655-3

  • Online ISBN: 978-3-642-19656-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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