Agent-Based Modeling and Simulation in Mathematics and Biology Education

被引：0
作者：
Erin N. Bodine
Robert M. Panoff
Eberhard O. Voit
Anton E. Weisstein
机构：
[1] Rhodes College,Department of Mathematics and Computer Science
[2] Shodor Education Foundation and Wofford College,Department of Biomedical Engineering
[3] Georgia Institute of Technology,Department of Biology
[4] Truman State University,undefined
来源：
Bulletin of Mathematical Biology | 2020年 / 82卷
关键词：
Agent-based models (ABMs); Simulation; Pedagogy; Education;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
With advances in computing, agent-based models (ABMs) have become a feasible and appealing tool to study biological systems. ABMs are seeing increased incorporation into both the biology and mathematics classrooms as powerful modeling tools to study processes involving substantial amounts of stochasticity, nonlinear interactions, and/or heterogeneous spatial structures. Here we present a brief synopsis of the agent-based modeling approach with an emphasis on its use to simulate biological systems, and provide a discussion of its role and limitations in both the biology and mathematics classrooms.
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