Using NetLogo as a tool to encourage scientific thinking across disciplines

Evans‐Winters, Venus E.

doi:10.14434/jotlt.v4n1.12946

Cited by 13 publications

(4 citation statements)

References 26 publications

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“…ABMs consist of 3 elements: an agent, the environment and interactions between 'agents' (autonomous decision-making entities) and the environment (Macal & North 2010). The environment is where phenomena occur, and agents inhabit that environment (Gammack 2015). Some studies have successfully used ABMs as a probabilistic approach to SAR (Hashimoto & Abaid 2019, Mohibullah & Julier 2013, Mohibullah 2017.…”

Section: Krystal Daceymentioning

confidence: 99%

Using an agent-based model to identify high probability search areas for search and rescue

Dacey

Whitsed

Gonzalez

2022

AJEM

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Thousands of people become lost in the wilderness each year and search and rescue personnel are called in to search for and to locate people who are lost. Time is critical as the lost person's chance of survival decreases over time. One method of improving search outcomes is efficient and accurate planning of search areas. Search and rescue planning techniques have been developed over time through extensive training, experience and knowledge. To expedite the search area planning process, an agent-based model (ABM) was used to highlight probabilistic and evidence-based areas typically considered by search area planners. This model takes spatial data calculated to a time-cost raster and incorporates lost person characteristics to determine location-specific probability data that can be used in decision-making.

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Section: Krystal Daceymentioning

confidence: 99%

Using an agent-based model to identify high probability search areas for search and rescue

Dacey

Whitsed

Gonzalez

2022

AJEM

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Section: Reportmentioning

confidence: 99%

October 2022

2022

AJEM

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The Australian Journal of Emergency Management is Australia's premier journal in emergency management. Its format and content are developed with reference to peak emergency management organisations and the emergency management sectors-nationally and internationally. The journal focuses on both the academic and practitioner reader. Its aim is to strengthen capabilities in the sector by documenting, growing and disseminating an emergency management body of knowledge. The journal strongly supports the role of the Australian Institute for Disaster Resilience as a national centre of excellence for knowledge and skills development in the emergency management sector. Papers are published in all areas of emergency management. The journal encourages empirical reports but may include specialised theoretical, methodological, case study and review papers and opinion pieces.

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“…They value the ability to iteratively simulate what-if scenarios and revise their models when surprising counterintuitive results appear. Too often ODE and PDE models of biological problems have made assumptions about larger quite homogeneous populations, continuous time scales, and focused on the clarity that can arise from well-defined theorems and definitions (Gammack, 2015). Agent-Based Modeling has been an important influence on the surge of a focus on modeling in undergraduate mathematical biology education, as noted in the Erin Bodine, Bob Panoff, Eberhard Voit, and Tony Weissstein's (2020) article: "Agent-based modeling and simulation in mathematical biology education."…”

Section: Criteria For Modulesmentioning

confidence: 99%

Biological Models for Finite Mathematics

Jungck¹

2021

PRIMUS

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Finite Mathematics has become an enormously rich and productive area of contemporary mathematical biology. Fortunately, educators have developed educational modules based upon many of the models that have used Finite Mathematics in mathematical biology research. A sufficient variety of computer modules that employ graph theory (phylogenetic trees, food webs, networks), cellular automata (pattern formation, diffusion limited aggregation), fractals (both measurement and generation of self-similar structures), finite difference equations and deterministic chaos (logistic growth, predator-prey, SIR epidemiology), combinatorics and probability (genetics and evolution), information theory (biodiversity, sequence logos), and Boolean logic (operons) are available to adopt, adapt, and implement. An emphasis has been placed on modules that are freely available, that have been educationally vetted, and that run on a variety of operating systems. Most modules are easy to use, graphically visual, and amenable to modification. In this paper, two different approaches are stressed: (1) "glass box models" that allow students to see equations associated with each cell in a spreadsheet and to modify/extend those models with minimal effort; and, (2) agent-based models that emphasize "bottom-up" modeling and that instantiate the power of massively parallel simulation and address the misconceptions of a "centralized mind-set."

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Using NetLogo as a tool to encourage scientific thinking across disciplines

Cited by 13 publications

References 26 publications

Using an agent-based model to identify high probability search areas for search and rescue

Using an agent-based model to identify high probability search areas for search and rescue

October 2022

Biological Models for Finite Mathematics

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