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Agent-Based Modeling and Simulation in Mathematics and Biology Education

Authors
  • Bodine, Erin N.1
  • Panoff, Robert M.2
  • Voit, Eberhard O.3
  • Weisstein, Anton E.4
  • 1 Rhodes College, 2000 N. Parkway, Memphis, TN, 38112, USA , Memphis (United States)
  • 2 Shodor Education Foundation and Wofford College, 701 William Vickers Avenue, Durham, NC, 27701, USA , Durham (United States)
  • 3 Georgia Institute of Technology, 2115 EBB, 950 Atlantic Drive, Atlanta, GA, 30332-2000, USA , Atlanta (United States)
  • 4 Truman State University, 100 E. Normal Street, Kirksville, MO, 63501, USA , Kirksville (United States)
Type
Published Article
Journal
Bulletin of Mathematical Biology
Publisher
Springer US
Publication Date
Jul 28, 2020
Volume
82
Issue
8
Identifiers
DOI: 10.1007/s11538-020-00778-z
Source
Springer Nature
Keywords
License
Yellow

Abstract

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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