tag:joss.theoj.org,2005:/papers/tagged/agent-based%20modelJournal of Open Source Software2024-03-24T14:42:39ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44352024-03-24T14:42:39Z2024-03-25T00:01:12ZViable North Sea (ViNoS): A NetLogo Agent-based Model of German Small-scale Fisheriesaccepted1.0.02023-04-17 14:17:24 UTC952024-03-24 14:42:39 UTC920245731CarstenLemmenHelmholtz-Zentrum Hereon, Institute of Coastal Systems - Modeling and Analysis, Germany, carsten.lemmen@hereon.de0000-0003-3483-6036SaschaHokampUniversität Hamburg, Centre for Earth System Research and Sustainability (CEN), Germany0000-0002-2192-4013SerraÖreyHochschule Bremerhaven, Research Cluster Life Sciences, Bremerhaven, Germany0000-0003-3483-6036JürgenScheffranUniversität Hamburg, Centre for Earth System Research and Sustainability (CEN), Germany0000-0002-7171-306210.21105/joss.05731https://doi.org/10.5281/zenodo.7928199R, Schemehttps://joss.theoj.org/papers/10.21105/joss.05731.pdfNetLogo, Agent-based Model, ABM, North Sea, Fisheries, MuSSeL project, VIABLE, Plaice, Sole, Shrimptag:joss.theoj.org,2005:Paper/46002023-10-03T20:23:42Z2023-10-04T10:38:48ZepiworldR: Fast Agent-Based Epi Modelsaccepted0.0-22023-07-13 15:39:41 UTC902023-10-03 20:23:42 UTC820235781DerekMeyerDivision of Epidemiology, University of Utah, Salt Lake City, UT, United States of America0009-0005-1350-6988GeorgeG VegaYonDivision of Epidemiology, University of Utah, Salt Lake City, UT, United States of America0000-0002-3171-084410.21105/joss.05781https://doi.org/10.5281/zenodo.8327345R, M4, C++https://joss.theoj.org/papers/10.21105/joss.05781.pdfABM, epiworldR, parallel computingtag:joss.theoj.org,2005:Paper/39542023-07-12T12:43:05Z2023-07-13T00:01:26Zsfctools - A toolbox for stock-flow consistent, agent-based modelsaccepted1.0.02022-10-11 19:54:56 UTC872023-07-12 12:43:05 UTC820234980ThomasBaldaufGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-9119-741310.21105/joss.04980https://doi.org/10.5281/zenodo.8118870Python, Roffhttps://joss.theoj.org/papers/10.21105/joss.04980.pdfAgent-Based Modeling, Stock-Flow Consistent Modeling, User Interface, Economicstag:joss.theoj.org,2005:Paper/39202023-04-17T12:09:49Z2023-04-18T00:02:37ZFAME-Core: An open Framework for distributed Agent-based Modelling of Energy systemsaccepted1.4.12022-09-23 18:25:56 UTC842023-04-17 12:09:49 UTC820235087ChristophSchimeczekGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-0791-9365MarcDeissenroth-UhrigGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany, School of Engineering, University of Applied Sciences Saarbrücken, Goebenstr. 40, 66117 Saarbrücken, Germany0000-0002-9103-418XUlrichFreyGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-9803-1336BenjaminFuchsGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-7820-851XA.Achraf ElGhaziGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0001-5064-9148ManuelWetzelGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0001-7838-2414KristinaNienhausGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0003-4180-676710.21105/joss.05087https://doi.org/10.5281/zenodo.7755760Javahttps://joss.theoj.org/papers/10.21105/joss.05087.pdfagent-based, energy systems, modelling framework, parallelisationtag:joss.theoj.org,2005:Paper/39222023-04-17T12:09:16Z2024-01-22T07:48:39ZAMIRIS: Agent-based Market model for the Investigation of Renewable and Integrated energy Systemsaccepted1.2.3.32022-09-23 18:29:25 UTC842023-04-17 12:09:16 UTC820235041ChristophSchimeczekGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-0791-9365KristinaNienhausGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0003-4180-6767UlrichFreyGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-9803-1336EvelynSperberGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0001-9093-5042SeyedfarzadSarfaraziGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0003-0532-5907FelixNitschGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-9824-3371JohannesKochemsGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-3461-3679A.Achraf ElGhaziGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0001-5064-914810.21105/joss.05041https://doi.org/10.5281/zenodo.7756088Java, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05041.pdfagent-based, energy systems, electricity markettag:joss.theoj.org,2005:Paper/41732023-03-26T19:04:39Z2023-03-27T00:03:22ZMelodie: Agent-based Modeling in Pythonacceptedv0.6.02023-01-21 11:43:17 UTC832023-03-26 19:04:39 UTC820235100SongminYuFraunhofer Institute for Systems and Innovation Research, Germany0000-0001-6062-4382ZhanyiHouSchool of Reliability and Systems Engineering, Beihang University, China0000-0001-8524-537010.21105/joss.05100https://doi.org/10.5281/zenodo.7771397Python, Cython, Chttps://joss.theoj.org/papers/10.21105/joss.05100.pdfagent-based modeling, complex system, automatic calibration, evolutionary trainingtag:joss.theoj.org,2005:Paper/38592022-11-16T14:16:49Z2022-11-17T00:01:36ZEvoDynamics.jl: a framework for modeling eco-evolutionary dynamicsaccepted0.16.02022-09-08 14:29:46 UTC792022-11-16 14:16:49 UTC720224775AliR.VahdatiDepartment of Anthropology, University of Zurich, Zurich, Switzerland0000-0003-0895-1495CarlosJ.MeliánDepartment of Fish Ecology and Evolution, Eawag, Centre of Ecology, Evolution and Biogeochemistry, Switzerland, Institute of Ecology and Evolution, Aquatic Ecology, University of Bern, Bern, Switzerland.0000-0003-3974-651510.21105/joss.04775https://doi.org/10.5281/zenodo.7303672Juliahttps://joss.theoj.org/papers/10.21105/joss.04775.pdfevolutionary biology, ecology, agent-based modeling, genotype-phenotype map, genetic architecturetag:joss.theoj.org,2005:Paper/35632022-11-10T14:26:43Z2022-11-11T00:01:04Zvillager: A framework for designing and executing agent-based models in Raccepted1.1.22022-05-03 02:28:07 UTC792022-11-10 14:26:43 UTC720224562ThomasThelenNational Center for Ecological Analysis and Synthesis0000-0002-1756-2128MarcusThomsonNational Center for Ecological Analysis and Synthesis0000-0002-5693-0245GerardoAldanaCollege of Creative Studies, University of California, Santa BarbaraToniGonzalezDepartment of Anthropology, University of California, Santa Barbara10.21105/joss.04562https://doi.org/10.5281/zenodo.6972383Rhttps://joss.theoj.org/papers/10.21105/joss.04562.pdfagent based modeling, simulation frameworktag:joss.theoj.org,2005:Paper/36982022-11-03T14:14:40Z2022-11-04T00:01:25ZBlack-it: A Ready-to-Use and Easy-to-Extend Calibration Kit for Agent-based Modelsacceptedv0.1.12022-07-01 17:32:40 UTC792022-11-03 14:14:40 UTC720224622MarcoBenedettiBanca d'Italia, ItalyGennaroCatapanoBanca d'Italia, ItalyFrancescoDe SclavisBanca d'Italia, ItalyMarcoFavoritoBanca d'Italia, Italy0000-0001-9566-3576AldoGlielmoBanca d'Italia, Italy0000-0002-4737-2878DavideMagnanimiBanca d'Italia, Italy0000-0002-6560-8047AntonioMuciBanca d'Italia, Italy10.21105/joss.04622https://doi.org/10.5281/zenodo.7273564Pythonhttps://joss.theoj.org/papers/10.21105/joss.04622.pdfagent-based models, calibration, benchmarking, computational economicstag:joss.theoj.org,2005:Paper/27522021-08-23T19:50:46Z2021-08-24T00:01:08ZAbmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learningaccepted0.1.22021-06-10 23:06:33 UTC642021-08-23 19:50:46 UTC620213424EdwardRusuLawrence Livermore National Laboratory0000-0003-1033-439XRubenGlattLawrence Livermore National Laboratory10.21105/joss.03424https://doi.org/10.5281/zenodo.5196791Pythonhttps://joss.theoj.org/papers/10.21105/joss.03424.pdfagent-based simulation, multi-agent reinforcement learning, machine learning, agent-based modeling