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

Standard

Don't Believe Everything You Hear : Preserving Relevant Information by Discarding Social Information. / Salge, Christoph; Polani, D.

ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of Living Systems. MIT Press, 2014. p. 837-844.

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

Harvard

Salge, C & Polani, D 2014, Don't Believe Everything You Hear: Preserving Relevant Information by Discarding Social Information. in ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of Living Systems. MIT Press, pp. 837-844, ALIFE 2014, New York, United States, 30/07/14. https://doi.org/10.7551/978-0-262-32621-6-ch137

APA

Salge, C., & Polani, D. (2014). Don't Believe Everything You Hear: Preserving Relevant Information by Discarding Social Information. In ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of Living Systems (pp. 837-844). MIT Press. https://doi.org/10.7551/978-0-262-32621-6-ch137

Vancouver

Salge C, Polani D. Don't Believe Everything You Hear: Preserving Relevant Information by Discarding Social Information. In ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of Living Systems. MIT Press. 2014. p. 837-844 https://doi.org/10.7551/978-0-262-32621-6-ch137

Author

Salge, Christoph ; Polani, D. / Don't Believe Everything You Hear : Preserving Relevant Information by Discarding Social Information. ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of Living Systems. MIT Press, 2014. pp. 837-844

Bibtex

@inproceedings{926485ce146445a5916e3ccc1bb54c6c,
title = "Don't Believe Everything You Hear: Preserving Relevant Information by Discarding Social Information",
abstract = "Integrating information gained by observing others via Social Bayesian Learning can be beneficial for an agent{\textquoteright}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 SocialBayesian 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",
author = "Christoph Salge and D. Polani",
year = "2014",
doi = "10.7551/978-0-262-32621-6-ch137",
language = "English",
pages = "837--844",
booktitle = "ALIFE 14",
publisher = "MIT Press",
note = "ALIFE 2014 ; Conference date: 30-07-2014 Through 02-08-2014",

}

RIS

TY - GEN

T1 - Don't Believe Everything You Hear

T2 - ALIFE 2014

AU - Salge, Christoph

AU - Polani, D.

PY - 2014

Y1 - 2014

N2 - 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 SocialBayesian 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

AB - 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 SocialBayesian 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

U2 - 10.7551/978-0-262-32621-6-ch137

DO - 10.7551/978-0-262-32621-6-ch137

M3 - Conference contribution

SP - 837

EP - 844

BT - ALIFE 14

PB - MIT Press

Y2 - 30 July 2014 through 2 August 2014

ER -