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        Don't Believe Everything You Hear : Preserving Relevant Information by Discarding Social Information

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        907004.pdf (PDF, 611Kb)
        Author
        Salge, Christoph
        Polani, D.
        Attention
        2299/15553
        Abstract
        Integrating information gained by observing others via Social Bayesian Learning can be beneficial for an agent’s performance, but can also enable population wide information cascades that perpetuate false beliefs through the agent population. We show how agents can influence the observation network by changing their probability of observing others, and demonstrate the existence of a population-wide equilibrium, where the advantages and disadvantages of the Social Bayesian update are balanced. We also use the formalism of relevant information to illustrate how negative information cascades are characterized by processing increasing amounts of non-relevant information
        Publication date
        2014
        Published in
        ALIFE 14
        Published version
        https://doi.org/10.7551/978-0-262-32621-6-ch137
        Other links
        http://hdl.handle.net/2299/15553
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