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When overconfident agents slow down collective learning

Abstract : This paper presents a model of influence where agents' beliefs are based on an objective reality, such as the properties of an environment. The perception of the objective reality is not direct: all agents know is that the more correct a belief, the more successful the actions that are deduced from this belief. (A pair of agents can influence each other when )Agents can influence eachother by pair when they perform a joint action. They are not only defined by individual beliefs, but also idyosynchratic confidence in their belief - this means that they are not all willing to (engage in action with) act with agents with a different belief and to be influenced by them. We show here that the distribution of confidence in the group has a huge impact on the speed and quality of collective learning and in particular that a small number of overconfident agents can prevent the whole group frow learning properly.
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Submitted on : Thursday, September 15, 2011 - 3:05:44 PM
Last modification on : Friday, April 29, 2022 - 10:12:42 AM
Long-term archiving on: : Tuesday, November 13, 2012 - 10:50:50 AM


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Juliette Rouchier, Emily Tanimura. When overconfident agents slow down collective learning. SIMULATION, 2012, 88 (1), pp.33-49. ⟨10.1177/0037549711428948⟩. ⟨hal-00623966⟩



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