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Influence with over-confident agents

Juliette Rouchier, Emily Tanimura
Submitted By: bluejuliette
Submitted: Oct 21, 2015
Last Updated: Oct 21, 2015
84 Downloads (4 Downloads in the last 3 months)

This model was built from a huge simplification of a previous model (published in “Simulation” on the difficulty to learn from an environment with too confident agents), so as to make an analytical proof and new simulations from this simplified model. Agents can be in three states of knowledge (0 being ignorant, 1 medium, 2 perfect knowledge) and can influence each other only if they are close enough - with more knowledgeable agents being able to influence more. The two important parameters are the initial repartition of agents and the respective probability of influence of each type of agent to the other. The paper should be published in JASSS.

This model is associated with a publication:

revision submitted to JASSS

Cite This Model:
Rouchier, Juliette, Tanimura, Emily (2015, October 21). "Influence with over-confident agents" (Version 1). CoMSES Computational Model Library. Retrieved from: https://www.openabm.org/model/4756/version/1
 
Model Version: 1 [Latest]
Version Notes:

Platform: NetLogo
Programming Language: Logo (variant)
Operating System: Platform Independent
Licensed Under: Creative Commons (cc by-sa)
Instructions on Running This Model:

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