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Genetic programming for understanding cognitive biases that..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Gunaratne, Chathika
;
Patton, Robert
- p. 546-549 , 2022
Link:
https://dl.acm.org/doi/10.1145/3520304.3529069
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Genetic programming for understanding cognitive biases that generate polarization in social networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3529069&Exemplar=1&LAN=DE A1 Gunaratne, Chathika A1 Patton, Robert PB ACM YR 2022 K1 agent-based K1 cognitive bias K1 genetic programming K1 polarization K1 social network K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Genetic programming K1 Applied computing K1 Law, social and behavioral sciences K1 Sociology K1 Modeling and simulation K1 Simulation types and techniques K1 Agent / discrete models SP 546 OP 549 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3520304.3529069 DO https://dl.acm.org/doi/10.1145/3520304.3529069 SF ELIB - SuUB Bremen
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