Kinetic theory;
Active particles;
Stochastic differential games;
Social learning;
Monte Carlo particle method;
MOTIVATION LOSSES;
DYNAMICS;
SYSTEMS;
EVOLUTION;
CANCER;
D O I:
10.1016/j.plrev.2015.10.008
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
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. (C) 2015 Elsevier B.V. All rights reserved.
机构:
Univ Pretoria, Dept Math & Appl Math, ZA-0002 Pretoria, South Africa
Lodz Univ Technol, Inst Math, Lodz, PolandUniv Pretoria, Dept Math & Appl Math, ZA-0002 Pretoria, South Africa
机构:
Univ British Columbia, Dept Chem, 2036 Main Mall, Vancouver, BC V6T 1Z1, CanadaUniv British Columbia, Dept Chem, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
机构:
Rensselaer Polytech Inst, Howard P Isermann Dept Chem & Biol Engn, Troy, NY 12180 USARensselaer Polytech Inst, Howard P Isermann Dept Chem & Biol Engn, Troy, NY 12180 USA
Qian, Yuzhou
Kramer, Peter R.
论文数: 0引用数: 0
h-index: 0
机构:
Rensselaer Polytech Inst, Dept Math Sci, Troy, NY 12180 USARensselaer Polytech Inst, Howard P Isermann Dept Chem & Biol Engn, Troy, NY 12180 USA
Kramer, Peter R.
Underhill, Patrick T.
论文数: 0引用数: 0
h-index: 0
机构:
Rensselaer Polytech Inst, Howard P Isermann Dept Chem & Biol Engn, Troy, NY 12180 USARensselaer Polytech Inst, Howard P Isermann Dept Chem & Biol Engn, Troy, NY 12180 USA