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Convergence of knowledge in a stochastic ...
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Document type :
Article dans une revue scientifique
DOI :
10.1142/S0218202520500529
Title :
Convergence of knowledge in a stochastic cultural evolution model with population structure, social learning and credibility biases
Author(s) :
Billiard, Sylvain [Auteur]
Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 [Evo-Eco-Paléo (EEP)]
Derex, Maxime [Auteur]
Maisonneuve, Ludovic [Auteur]
Institut de Systématique, Evolution, Biodiversité [ISYEB ]
Rey, Thomas [Auteur] refId
Reliable numerical approximations of dissipative systems [RAPSODI ]
Journal title :
Mathematical Models and Methods in Applied Sciences
Pages :
2691-2723
Publisher :
World Scientific Publishing
Publication date :
2020-12-07
ISSN :
0218-2025
English keyword(s) :
language evolution
inhomogeneous Markov chains
concentration inequalities
numerical simulations
convergence to equilibrium
Individual based model
cultural evolution
cumulative culture
HAL domain(s) :
Mathématiques [math]/Probabilités [math.PR]
Sciences de l'Homme et Société/Anthropologie sociale et ethnologie
English abstract : [en]
Understanding how knowledge is created and propagates within groups is crucial to explain how human populations have evolved through time. Anthropologists have relied on different theoretical models to address this question. ...
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Understanding how knowledge is created and propagates within groups is crucial to explain how human populations have evolved through time. Anthropologists have relied on different theoretical models to address this question. In this work, we introduce a mathematically oriented model that shares properties with individual based approaches, inhomogeneous Markov chains and learning algorithms, such as those introduced in [F. Cucker, S. Smale, Bull. Amer. Math. Soc, 39 (1), 2002] and [F. Cucker, S. Smale and D. X Zhou, Found. Comput. Math., 2004]. After deriving the model, we study some of its mathematical properties, and establish theoretical and quantitative results in a simplified case. Finally, we run numerical simulations to illustrate some properties of the model.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
ANR Project :
Modèles multi-échelles et simulation numérique hybride de semi-conducteurs
Centre Européen pour les Mathématiques, la Physique et leurs Interactions
Institut for Advanced Study in Toulouse
Collections :
  • Évolution, Écologie et Paléontologie (Evo Eco Paleo) - UMR 8198
Source :
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