Collective learning modeling based on the kinetic theory of active particles
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.
- Publication:
-
Physics of Life Reviews
- Pub Date:
- March 2016
- DOI:
- 10.1016/j.plrev.2015.10.008
- Bibcode:
- 2016PhLRv..16..123B
- Keywords:
-
- Kinetic theory;
- Active particles;
- Stochastic differential games;
- Social learning;
- Monte Carlo particle method