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Uri Wilensky
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Proceedings Papers
. isal2019, ALIFE 2019: The 2019 Conference on Artificial Life475-476, (July 29–August 2, 2019) 10.1162/isal_a_00206
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As water dwelling vertebrates began to progressively evolve features that enabled them to survive on land, they also developed larger eyes, which would have considerably increased their range of vision above water. This increase in visual range may have facilitated their exploitation of new food sources on land and promoted increased cognitive capacity in the form of planning (MacIver et al., 2017). In this study, we use a multi-level agent-based model to attempt to replicate the dynamics of the hypothetical evolutionary scenario described above. To do so, we use a novel method called agent-centric Monte Carlo cognition (ACMCC) (Head and Wilensky, 2018), which allows us to represent the agents’ cognition in a quantifiable manner by performing micro-simulations in a separate agent-based model. In our simulations, we observe that as a population that is adapted to live on land emerges, their mean eye size and cognitive capacity increase.
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
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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.