Signalling chains with probe and adjust learning |
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Authors: | Giorgio Gosti |
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Affiliation: | Center for Life Nanoscience, Istituto Italiano di Tecnologia, Roma, Italygiorgio.gosti@iit.it http://orcid.org/0000-0002-8571-1404 |
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Abstract: | Many models explain the evolution of signalling in repeated stage games on social networks, differently in this study each signalling game evolves a communication strategy to transmit information across the network. Specifically, I formalise signalling chain games as a generalisation of Lewis' signalling games, where a number of players are placed on a chain network and play a signalling game in which they have to propagate information across the network. I show that probe and adjust learning allows the system to develop communication conventions, but it may temporarily perturb the system out of conventions. Through simulations, I evaluate how long the system takes to evolve a signalling convention and the amount of time it stays in it. This discussion presents a mechanism in which simple players can evolve signalling across a social network without necessarily understanding the entire system. |
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Keywords: | Social learning social networks bounded rationality signalling games evolutionary dynamics |
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