Kinetic models - mathematical models of everything? Comment on "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al.

被引：2

作者：

Banasiak, J. ^{[1
,2
]}

机构：

[1] Univ Pretoria, Dept Math & Appl Math, ZA-0002 Pretoria, South Africa

[2] Lodz Univ Technol, Inst Math, Lodz, Poland

来源：

PHYSICS OF LIFE REVIEWS | 2016年 / 16卷

关键词：

NETWORKS;

D O I：

10.1016/j.plrev.2016.01.005

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

引用

页码：140 / 141

页数：2

共 28 条

[1] The (kinetic) theory of active particles applied to learning dynamics Comment on "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al.
Nieto, J.
PHYSICS OF LIFE REVIEWS, 2016, 16 : 152 - 153
[2] Learning dynamics: A fundamental building block in social models Comment on "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al.
Knopoff, Damian A.
PHYSICS OF LIFE REVIEWS, 2016, 16 : 148 - 149
[3] Learning and dynamics in social systems Comment on "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al.
Dolfin, Marina
PHYSICS OF LIFE REVIEWS, 2016, 16 : 146 - +
[4] Information on living systems: A kinetic approach Comment on the paper "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al.
Urrutia, L.
PHYSICS OF LIFE REVIEWS, 2016, 16 : 156 - 157
[5] Boltzmann equation modelling of Learning Dynamics Comment on "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al.
Shizgal, Bernie
PHYSICS OF LIFE REVIEWS, 2016, 16 : 154 - 155
[6] Learning dynamics for systems with space structure Comment on the paper "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al.
Chouhad, Nadia
PHYSICS OF LIFE REVIEWS, 2016, 16 : 144 - 145
[7] On the complex interplay between learning and dynamics in life sciences Comment on the paper "Collective learning modeling based on the kinetic theory of active particles" by Burini et al.
Bellomo, Nicola
Elaiw, Ahmed
Alghamdi, Mohamed Ali
PHYSICS OF LIFE REVIEWS, 2016, 16 : 142 - 143
[8] Collective learning modeling based on the kinetic theory of active particles
Burini, D.
De Lillo, S.
Gibelli, L.
PHYSICS OF LIFE REVIEWS, 2016, 16 : 123 - 139
[9] From particle systems to learning processes Comment on "Collective learning modeling based on the kinetic theory of active particles" by Diletta Burini, Silvana De Lillo, and Livio Gibelli
Lachowicz, Miroslaw
PHYSICS OF LIFE REVIEWS, 2016, 16 : 150 - 151
[10] From the mathematical kinetic theory for active particles on the derivation of hyperbolic macroscopic tissue models
Bellomo, Nicola
Bellouquid, Abdelghani
Soler, Juan
MATHEMATICAL AND COMPUTER MODELLING, 2009, 49 (11-12) : 2083 - 2093

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