Abstract
A theoretical representation of social structure in agent-based organizations is developed. To test the model we generated a hypothesis from organizational learning theory and tested it using computational experiments. We found that emergent social structure associated with rewarding agent learning increased collective output over and above pay for performance.
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Hazy, J.K., Tivnan, B.F., Schwandt, D.R. (2011). Modeling Social Structure as Network Effects: Rewards for Learning Improves Performance. In: Minai, A.A., Braha, D., Bar-Yam, Y. (eds) Unifying Themes in Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17635-7_18
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DOI: https://doi.org/10.1007/978-3-642-17635-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17634-0
Online ISBN: 978-3-642-17635-7
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