Computational Model Library

Superiority Bias and Communication Noise in a Model of Collective Problem Solving (1.0.0)

This model aims to examine how different levels of communication noise and superiority bias affect team performance when solving problems collectively. We used a networked agent-based model of collective problem solving in which agents explore the NK landscape for a better solution and communicate with each other regarding their current solutions. We compared the team performance in solving problems collectively at different levels of self-superiority bias when facing simple and complex problems. Additionally, we addressed the effect of different levels of communication noise on the team’s outcome

Release Notes

In our model of collective problem-solving in an NK landscape, we compare the performance of teams of agents who exhibit various levels of superiority bias and communication noise in solving complex and simple problems.

Associated Publications

Superiority Bias and Communication Noise in a Model of Collective Problem Solving 1.0.0

This model aims to examine how different levels of communication noise and superiority bias affect team performance when solving problems collectively. We used a networked agent-based model of collective problem solving in which agents explore the NK landscape for a better solution and communicate with each other regarding their current solutions. We compared the team performance in solving problems collectively at different levels of self-superiority bias when facing simple and complex problems. Additionally, we addressed the effect of different levels of communication noise on the team’s outcome

Release Notes

In our model of collective problem-solving in an NK landscape, we compare the performance of teams of agents who exhibit various levels of superiority bias and communication noise in solving complex and simple problems.

Version Submitter First published Last modified Status
1.0.0 Amin Boroomand Sun May 1 02:21:10 2022 Sun May 1 02:21:10 2022 Published

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