Billiard, Sylvain, Derex, Maxime, Maisonneuve, Ludovic and Rey, Thomas (2020) Convergence of knowledge in a stochastic cultural evolution model with population structure, social learning and credibility biases. Mathematical Models and Methods in Applied Sciences, vol. 30 (n° 14). pp. 2697-2723.

[thumbnail of 1911.05482.pdf]
Download (773kB) | Preview
Official URL :
Identification Number : 10.1142/S0218202520500529


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.

Item Type: Article
Language: English
Date: December 2020
Refereed: Yes
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 08 Dec 2020 15:32
Last Modified: 08 Jun 2023 11:53
OAI Identifier:
View Item


Downloads per month over past year