Modular ABM development for improved dissemination and training |
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| Affiliation: | 1. New York University, New York, New York, 10003, Canada;2. University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada;3. George Mason University, Fairfax, VA, 22030, USA;1. Dept. of Computer Architecture, University of Granada, Spain;2. Water Research Institute, University of Granada, Spain;3. Dept. of Civil Engineering, University of Granada, Spain;4. Research Center for Information and Communications Technologies, University of Granada (CITIC), Spain;1. Department of Geography, Michigan State University, East Lansing, MI, USA;2. University of Canterbury Center for Atmospheric Research, Christchurch, New Zealand;3. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA;4. USDA Forest Service, Northern Research Station, Lansing, MI, USA;1. Department of Geography, University of Delaware, Newark, DE 19716, USA;2. Department of Geography, Indiana University, Bloomington, IN 47405, USA;1. School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA;2. Department of Civil Engineering, Indian Institute of Technology Hyderabad, Yeddumailaram, India;3. Department of Geosciences, The Pennsylvania State University, University Park, PA, USA;4. Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA;5. Earth and Environmental Systems Institute, The Pennsylvania State University, University Park, PA, USA;1. School of Civil and Environmental Engineering, UNSW, Sydney, NSW 2052, Australia;2. School Biological, Earth and Environmental Sciences, UNSW, Sydney, NSW 2052, Australia;3. Connected Waters Initiative Research Centre, UNSW, Sydney, NSW 2052, Australia;4. CSIRO Centre for Environment and Life Sciences, Perth, WA 6010, Australia;5. Institute of Earth Surface Dynamics, University of Lausanne, Switzerland |
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| Abstract: | Agent-based models (ABMs) have become an important tool for advancing scientific understanding in a variety of disciplines and more specifically have contributed gains to natural resource management in recent decades. However, a key challenge to their utility is the lack of convergence upon a common set of assumptions for representing key processes (such as agent decision structure), with the outcome that published ABM tools are rarely (if ever) used beyond their original development team. While a number of ABM frameworks are publicly available for use, the continued development of models from scratch is a signal of the continuing difficulty in capturing sufficient modeling flexibility in a single package. In this study we examine ABM sharing by comparing co-citation networks from several well-known ABM frameworks to those used in the land-use change modeling community. We then outline a different publication paradigm for the ABM community that could improve the sharing of model structure and help move toward convergence on a common set of tools and assumptions. |
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| Keywords: | Agent-based modeling Co-authorship networks Agent-based modeling primitives Model publishing |
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