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Author Spotlight: Collective Behavioral Analysis of the Nematode, Caenorhabditis elegans
Published on: August 25, 2023
Collective learning modeling based on the kinetic theory of active particles
D Burini1, S De Lillo1, L Gibelli2
1Department of Mathematics and Computer Science, Università degli Studi di Perugia, Via Vanvitelli 1, 06123 Perugia, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Italy.
Abstract:
This paper proposes a systems approach to the theory of perception and learning in populations composed of many living entities. Starting from a phenomenological description of these processes, a mathematical structure is derived which is deemed to incorporate their complexity features. The modeling is based on a generalization of kinetic theory methods where interactions are described by theoretical tools of game theory. As an application, the proposed approach is used to model the learning processes that take place in a classroom.
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