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Yu Guo
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Proceedings Papers
. alif2016, ALIFE 2016, the Fifteenth International Conference on the Synthesis and Simulation of Living Systems664-665, (July 4–6, 2016) 10.1162/978-0-262-33936-0-ch105
Abstract
View Papertitled, Small Bugs, Big Ideas: Teaching Complex Systems Principles Through Agent-Based Models of Social Insects
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for content titled, Small Bugs, Big Ideas: Teaching Complex Systems Principles Through Agent-Based Models of Social Insects
Complex systems are challenging for students, especially younger students, to learn. In this paper, we argue that agent-based models (ABMs) of social insects provide an engaging and effective space for students to learn powerful ideas about complex systems. We designed a curricular unit called BeeSmart centering on ABMs of honeybees collective behavior. Preliminary results from an implementation at a high school showed that ABMs of social insects could be a promising approach to introduce complex systems to a younger audience.