Global Dynamics Emerging from Local Interactions: Agent-Based Modeling for the Life Sciences
Global Dynamics Emerging from Local Interactions: Agent-Based Modeling for the Life Sciences
Agent-based modeling (ABM) provides an excellent opportunity for students in the life sciences to carefully define and explore the local behaviors and characteristics that contribute to the global patterns they observe. The chapter begins with an introduction to the concept of ABM, and incorporates hands-on ABM modeling exercises within a brief history of ABM. The chapter then considers several increasingly complex examples of agent-based modeling projects that the authors’ undergraduate students undertook, with exercises that encourage algorithm development, ABM coding, parameter sensitivity analyses, and practice with a standard protocol for ABM presentation. The concluding section explores the educational benefits of agent-based modeling within the undergraduate science curriculum.
105-141
Gammack, David
65b60f25-7546-4132-99da-e140f4727f8d
Schaefer, Elsa
8ce55c84-2e7c-41db-97bb-3f313f070b6c
Gaff, Holly
e224a8e2-149c-428a-a029-820de30a9ba4
2013
Gammack, David
65b60f25-7546-4132-99da-e140f4727f8d
Schaefer, Elsa
8ce55c84-2e7c-41db-97bb-3f313f070b6c
Gaff, Holly
e224a8e2-149c-428a-a029-820de30a9ba4
Gammack, David, Schaefer, Elsa and Gaff, Holly
(2013)
Global Dynamics Emerging from Local Interactions: Agent-Based Modeling for the Life Sciences.
In,
Mathematical Concepts and Methods in Modern Biology: Using modern discrete models.
Elsevier Inc., .
(doi:10.1016/B978-0-12-415780-4.00004-1).
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Book Section
Abstract
Agent-based modeling (ABM) provides an excellent opportunity for students in the life sciences to carefully define and explore the local behaviors and characteristics that contribute to the global patterns they observe. The chapter begins with an introduction to the concept of ABM, and incorporates hands-on ABM modeling exercises within a brief history of ABM. The chapter then considers several increasingly complex examples of agent-based modeling projects that the authors’ undergraduate students undertook, with exercises that encourage algorithm development, ABM coding, parameter sensitivity analyses, and practice with a standard protocol for ABM presentation. The concluding section explores the educational benefits of agent-based modeling within the undergraduate science curriculum.
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Published date: 2013
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Local EPrints ID: 480344
URI: http://eprints.soton.ac.uk/id/eprint/480344
PURE UUID: 82feb66b-25a7-4a02-b291-1af7b3a586db
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Date deposited: 01 Aug 2023 17:24
Last modified: 18 Mar 2024 03:27
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Author:
Elsa Schaefer
Author:
Holly Gaff
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