A computational model library for publishing model documentation and code

Environmental Modelling and Software

Volumn 61, Issue , 2014, Pages 59-64

  Rollins, Nathan D ^a   Barton, C Michael ^a   Bergin, Sean ^a   Janssen, Marco A ^a   Lee, Allen ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Agent based modeling; Computational modeling; Documentation; Model archive; Open source

Indexed keywords

CODES (SYMBOLS); SYSTEM PROGRAM DOCUMENTATION;

AGENT-BASED MODEL; BEST PRACTICES; CERTIFICATION PROCESS; COMPUTATIONAL MODEL; CYBER INFRASTRUCTURES; MODEL DOCUMENTATIONS; OPEN REPOSITORIES; OPEN SOURCES;

COMPUTATIONAL METHODS; SYSTEM PROGRAM DOCUMENTATION;

INFORMATION SYSTEM; INFORMATION TECHNOLOGY; LIFE SCIENCE; NUMERICAL MODEL; SOFTWARE; CERTIFICATION; COMPUTER SIMULATION; KNOWLEDGE; REPOSITORY; RESEARCH WORK;

EID: 84904737733     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.06.022     Document Type: Article

References (27)

1. Alessa L., Laituri M., Barton C.M. An "all hands" call to the social science community: establishing a community framework for complexity modeling using agent based models and cyberinfrastructure. J.Artif. Soc. Soc. Simul. 2006, 9.
2. Barnes N. Publish your computer code: it is good enough. Nature 2010, 467:753.
3. Simulating Social Complexity: a Handbook 2013, Springer-Verlag, Berlin. B. Edmonds, R. Meyer (Eds.).
4. Gent P.R., Danabasoglu G., Donner L.J., Holland M.M., Hunke E.C., Jayne S.R., Lawrence D.M., Neale R.B., Rasch P.J., Vertenstein M., Worley P.H., Yang Z.L., Zhang M. The community climate system model version 4. J.Clim. 2011, 24:4973-4991.
5. Grimm V., Berger U., Bastiansen F., Eliassen S., Ginot V., Giske J., Goss-Custard J., Grand T., Heinz S.K., Huse G., Huth A., Jepsen J.U., Jørgensen C., Mooij W.M., Müller B., Pe'er G., Piou C., Railsback S.F., Robbins A.M., Robbins M.M., Rossmanith E., Rüger N., Strand E., Souissi S., Stillman R.A., Vabø R., Visser U., DeAngelis D.L. Astandard protocol for describing individual-based and agent-based models. Ecol. Model. 2006, 198:115-126.
6. Grimm V., Berger U., DeAngelis D.L., Polhill J.G., Giske J., Railsback S.F. The ODD protocol: a review and first update. Ecol. Model. 2010, 221:2760-2768.
7. Hales D., Rouchier J., Edmunds B. Model-to-model analysis. J.Artif. Soc. Soc. Simul. 2003, 6.
8. Hayes B. Computing science: undisciplined science. Am. Sci. 2004, 92(4):306-310. 10.2307/27858416.
9. Social Self-organization: Agent-based Simulations and Experiments to Study Emergent Social Behavior 2012, Springer-Verlag, Berlin. D. Helbing (Ed.).
10. Janssen M.A. Coordination in irrigation systems: an analysis of the Lansing-Kremer model of Bali. Agric. Syst. 2007, 93:170-190.
11. Janssen M.A. Understanding artificial anasazi. J.Artif. Soc. Soc. Simul. 2009, 12:13.
12. Janssen M.A., Alessa L.N., Barton C.M., Bergin S., Lee A. Towards a community framework for agent-based modeling. J.Artif. Soc. Soc. Simul. 2008, 11.
13. Joppa L.N., McInerny G., Harper R., Salido L., Takeda K., O'Hara K., Gavaghan D., Emmott S. Troubling trends in scientific software use. Science 2013, 340:814-815.
14. Joppa L.N., Gavaghan D., Harper R., Takeda K., Emmott S. Optimizing peer review of software code - response. Science 2013, 341:237.
15. Meadows M., Cliff D. Reexamining the relative agreement model of opinion dynamics. J.Artif. Soc. Soc. Simul. 2012, 15(4):4. http://jasss.soc.surrey.ac.uk/15/4/4.html.
16. Miller J.H., Page S.E. Complex Adaptive Systems: an Introduction to Computational Models of Social Life 2007, Princeton University Press, Princeton, N.J.
17. Morin A., Urban J., Adams P.D., Foster I., Sali A., Baker D., Sliz P. Shining light into black boxes. Science 2012, 336:159-160.
18. Müller B., Balbi S., Buchmann C.M., de Sousa L., Dressler G., Groeneveld J., Klassert C.J., Bao Le Q., Millington J.D.A., Nolzen H., Parker D.C., Polhill J.G., Schlüter M., Schulze J., Schwarz N., Sun Z., Taillandier P., Weise H. Standardised and transparent model descriptions for agent-based models: current status and prospects. Environ. Model. Softw. 2014, 55:156-163.
19. Parker D.C., Brown D.G., Polhill J.G., Manson S.M., Deadman P.J. Illustrating a new "conceptual design pattern" for agent-based models and land use via five case studies: the MR POTATOHEAD framework. Agent-based Modeling in Natural Resource Management 2008, 29-62. Universidad de Valladolid, Valladolid, Spain. A.L. Paredes, C.H. Iglesias (Eds.).
20. Peckham S.D., Hutton E.W.H., Norris B. Acomponent-based approach to integrated modeling in the geosciences: the design of CSDMS. Comput. Geosci. 2012, 10.1016/j.cageo.2012.04.002.
21. Peng R.D. Reproducible research in computational science. Science 2011, 334:1226-1227.
22. Polhill J.G., Izquierdo L.R., Gotts N.M. The ghost in the model (and other effects of floating point arithmetic). J.Artif. Soc. Soc. Simul. 2005, 8:5.
23. Polhill J.G., Parker D.C., Brown D.G., Grimm V. Using the ODD protocol for describing three agent-based social simulation models of land use change. J.Artif. Soc. Soc. Simul. 2008, 11:3.
24. Sliz P., Morin A. Optimizing peer review of software code. Science 2013, 341(6143):236-237. 10.1126/science.341.6143.236-b.
25. Strube T., Benz J., Kardaetz S., Brüggemann R. ECOBAS - A tool to develop ecosystem models exemplified by the shallow lake model EMMO. Ecol. Inform. 2008, 3(2):154-169.
26. Wilensky U., Rand W. Making models match: replicating an agent-based model. J.Artif. Soc. Soc. Simul. 2007, 10:2.
27. Wing J.M. Computational thinking and thinking about computing. Philos. Trans. R. Soc. Math. Phys. Eng. Sci. 2008, 366(1881):3717-3725. 10.1098/rsta.2008.0118.