{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T08:35:51Z","timestamp":1774686951179,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030612542","type":"print"},{"value":"9783030612559","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-61255-9_30","type":"book-chapter","created":{"date-parts":[[2020,10,10]],"date-time":"2020-10-10T19:02:54Z","timestamp":1602356574000},"page":"308-317","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":120,"title":["Utilizing Python for Agent-Based Modeling: The Mesa Framework"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8300-7384","authenticated-orcid":false,"given":"Jackie","family":"Kazil","sequence":"first","affiliation":[]},{"given":"David","family":"Masad","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5034-6654","authenticated-orcid":false,"given":"Andrew","family":"Crooks","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,11]]},"reference":[{"key":"30_CR1","unstructured":"Apache License, Version 2.0 (2004). https:\/\/www.apache.org\/licenses\/LICENSE-2.0. Accessed 28 Feb 2020"},{"key":"30_CR2","unstructured":"Comer, K.W.: Who goes first? An examination of the impact of activation on outcome behavior in agent-based models. Ph.D. dissertation, George Mason University, Fairfax, VA (2014)"},{"key":"30_CR3","doi-asserted-by":"crossref","DOI":"10.4135\/9781529793543","volume-title":"Agent-Based Modelling and Geographical Information Systems: A Practical Primer","author":"AT Crooks","year":"2019","unstructured":"Crooks, A.T., Malleson, N., Manley, E., Heppenstall, A.J.: Agent-Based Modelling and Geographical Information Systems: A Practical Primer. Sage, London, UK (2019)"},{"key":"30_CR4","unstructured":"Delgado, P.A.: design and development of an agent-based social simulation visualization tool for indoor crowd analytics based on the library Three.Js. Ph.D. dissertation, Universidad Politecnica De Madrid, Madrid, Spain (2017)"},{"key":"30_CR5","unstructured":"Django: Django (version 1.5) (2013). https:\/\/www.djangoproject.com\/. Accessed 28 Feb 2020"},{"key":"30_CR6","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3374.001.0001","volume-title":"Growing Artificial Societies: Social Science from the Bottom Up","author":"JM Epstein","year":"1996","unstructured":"Epstein, J.M., Axtell, R.: Growing Artificial Societies: Social Science from the Bottom Up. MIT Press, Cambridge (1996)"},{"key":"30_CR7","unstructured":"Escobar, G.F.: Design and implementation of an agent-based crowd simulation model for evacuation of university buildings using Python. Ph.D. dissertation, Universidad Politecnica De Madrid, Madrid, Spain (2017)"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1086\/261868","volume":"101","author":"DK Gode","year":"1993","unstructured":"Gode, D.K., Sunder, S.: Allocative efficiency of markets with zero-intelligence traders: market as a partial substitute for individual rationality. J. Polit. Econ. 101, 119\u2013137 (1993)","journal-title":"J. Polit. Econ."},{"key":"30_CR9","unstructured":"Google Scholar. Papers Citing Mesa (2020). bit.ly\/GScholarMesa. Accessed 28 Feb 2020"},{"key":"30_CR10","unstructured":"Hagberg, A., Swart, P., Chult, D.S.: Exploring Network Structure, Dynamics, and Function using NetworkX, Los Alamos National Lab (No. LA-UR-08-05495; LA-UR-08-5495), Los Alamos, NM (2008)"},{"key":"30_CR11","unstructured":"Heinz, T.: Location-based game design pattern exploration through agent-based simulation. In: AGILE 2017 Workshop on Geogames and Geoplay, Wageningen, Netherlands (2017)"},{"issue":"7","key":"30_CR12","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1177\/0037549705058073","volume":"81","author":"S Luke","year":"2005","unstructured":"Luke, S., Cioffi-Revilla, C., Panait, L., Sullivan, K., Balan, G.: MASON: a multi-agent simulation environment. Simulation 81(7), 517\u2013527 (2005)","journal-title":"Simulation"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Masad, D., Kazil, J.: Mesa: an agent-based modeling framework. In: Huff, K., Bergstra, J. (eds.) Proceedings of the 14th Python in Science Conference, Austin, TX, pp. 53\u201360 (2015)","DOI":"10.25080\/Majora-7b98e3ed-009"},{"key":"30_CR14","unstructured":"McCabe, S.: Communicating sequential agents: an analysis of concurrent agent scheduling. MA thesis, George Mason University, Fairfax, VA (2016)"},{"issue":"1","key":"30_CR15","doi-asserted-by":"publisher","first-page":"8","DOI":"10.18564\/jasss.3933","volume":"22","author":"F Neves","year":"2019","unstructured":"Neves, F., Campos, P., Silva, S.: Innovation and employment: an agent-based approach. J. Artif. Soc. Soc. Simul. 22(1), 8 (2019)","journal-title":"J. Artif. Soc. Soc. Simul."},{"key":"30_CR16","doi-asserted-by":"publisher","unstructured":"North, M.J., et al.: Complex adaptive systems modeling with repast simphony. Complex Adapt. Syst. Model. 1(1) (2013). https:\/\/doi.org\/10.1186\/2194-3206-1-3","DOI":"10.1186\/2194-3206-1-3"},{"key":"30_CR17","unstructured":"Patel, A.: Red Blob Games: Hexagonal Grids (2019). https:\/\/www.redblobgames.com\/grids\/hexagons\/. Accessed 28 Feb 2020"},{"key":"30_CR18","doi-asserted-by":"publisher","unstructured":"Pike, T.: Integrating computational tools into foreign policy: introducing mesa packages with a coalition algorithm. J. Policy Complex Syst. 4(2) (2018). https:\/\/doi.org\/10.18278\/jpcs.4.2.5","DOI":"10.18278\/jpcs.4.2.5"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"Pires, B., Goldstein, J., Molfino, E., Ziemer, K.S.: Knowledge sharing in a dynamic, multi-level organization: exploring cascade and threshold models of diffusion. In: Proceedings of the 2017 International Conference of the Computational Social Science Society of the Americas Santa Fe, NM (2017)","DOI":"10.1145\/3145574.3145601"},{"issue":"9","key":"30_CR20","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1177\/0037549706073695","volume":"82","author":"SF Railsback","year":"2006","unstructured":"Railsback, S.F., Lytinen, S.L., Jackson, S.K.: Agent-based simulation platforms: review and development recommendations. Simulation 82(9), 609\u2013623 (2006)","journal-title":"Simulation"},{"key":"30_CR21","unstructured":"Robinson, D.: Why Is Python Growing So Quickly? (2017). https:\/\/stackoverflow.blog\/2017\/09\/14\/python-growing-quickly\/. Accessed 28 Feb 2020"},{"key":"30_CR22","unstructured":"Sullivan, K., Coletti, M., Luke, S.: GeoMason: GeoSpatial Support for MASON, Department of Computer Science, George Mason University, Technical Report Series, Fairfax, VA (2010)"},{"key":"30_CR23","unstructured":"Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (1999). http:\/\/ccl.northwestern.edu\/netlogo"}],"container-title":["Lecture Notes in Computer Science","Social, Cultural, and Behavioral Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61255-9_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T22:21:53Z","timestamp":1669155713000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-61255-9_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030612542","9783030612559"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61255-9_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"11 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SBP-BRiMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Washington, DC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sbp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/sbp-brims.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference will be held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}