University of Hertfordshire

By the same authors

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

  • 907004

    Accepted author manuscript, 611 KB, PDF document

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Original languageEnglish
Title of host publicationALIFE 14
Subtitle of host publicationProcs of the 14th Int Conf on the Synthesis and Simulation of Living Systems
PublisherMIT Press
Pages837-844
Number of pages8
DOIs
Publication statusPublished - 2014
EventALIFE 2014 - New York, United States
Duration: 30 Jul 20142 Aug 2014

Conference

ConferenceALIFE 2014
CountryUnited States
CityNew York
Period30/07/142/08/14

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

ID: 8201953