{"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","month":"12","publisher":"Elsevier","oa":1,"department":[{"_id":"KrCh"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","acknowledgement":"C.H. acknowledges generous support from the ISTFELLOW program.","file_date_updated":"2020-07-14T12:44:39Z","pubrep_id":"798","_id":"1200","volume":19,"publication_status":"published","day":"01","ddc":["530"],"status":"public","date_published":"2016-12-01T00:00:00Z","has_accepted_license":"1","quality_controlled":"1","date_created":"2018-12-11T11:50:40Z","publist_id":"6150","oa_version":"Submitted Version","type":"journal_article","project":[{"grant_number":"291734","_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme"}],"file":[{"date_updated":"2020-07-14T12:44:39Z","file_size":171352,"date_created":"2018-12-12T10:11:02Z","relation":"main_file","file_name":"IST-2017-798-v1+1_comment_adami.pdf","checksum":"95e6dc78278334b99dacbf8822509364","creator":"system","access_level":"open_access","content_type":"application/pdf","file_id":"4855"}],"page":"29 - 31","ec_funded":1,"doi":"10.1016/j.plrev.2016.10.004","year":"2016","author":[{"full_name":"Hilbe, Christian","last_name":"Hilbe","first_name":"Christian","id":"2FDF8F3C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5116-955X"},{"last_name":"Traulsen","first_name":"Arne","full_name":"Traulsen, Arne"}],"publication":"Physics of Life Reviews","language":[{"iso":"eng"}],"scopus_import":1,"tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png"},"date_updated":"2021-01-12T06:49:03Z","intvolume":" 19","citation":{"mla":"Hilbe, Christian, and Arne Traulsen. “Only the Combination of Mathematics and Agent Based Simulations Can Leverage the Full Potential of Evolutionary Modeling: Comment on ‘Evolutionary Game Theory Using Agent-Based Methods’ by C. Adami, J. Schossau and A. Hintze.” Physics of Life Reviews, vol. 19, Elsevier, 2016, pp. 29–31, doi:10.1016/j.plrev.2016.10.004.","chicago":"Hilbe, Christian, and Arne Traulsen. “Only the Combination of Mathematics and Agent Based Simulations Can Leverage the Full Potential of Evolutionary Modeling: Comment on ‘Evolutionary Game Theory Using Agent-Based Methods’ by C. Adami, J. Schossau and A. Hintze.” Physics of Life Reviews. Elsevier, 2016. https://doi.org/10.1016/j.plrev.2016.10.004.","apa":"Hilbe, C., & Traulsen, A. (2016). Only the combination of mathematics and agent based simulations can leverage the full potential of evolutionary modeling: Comment on “Evolutionary game theory using agent-based methods” by C. Adami, J. Schossau and A. Hintze. Physics of Life Reviews. Elsevier. https://doi.org/10.1016/j.plrev.2016.10.004","ista":"Hilbe C, Traulsen A. 2016. Only the combination of mathematics and agent based simulations can leverage the full potential of evolutionary modeling: Comment on “Evolutionary game theory using agent-based methods” by C. Adami, J. Schossau and A. Hintze. Physics of Life Reviews. 19, 29–31.","short":"C. Hilbe, A. Traulsen, Physics of Life Reviews 19 (2016) 29–31.","ama":"Hilbe C, Traulsen A. Only the combination of mathematics and agent based simulations can leverage the full potential of evolutionary modeling: Comment on “Evolutionary game theory using agent-based methods” by C. Adami, J. Schossau and A. Hintze. Physics of Life Reviews. 2016;19:29-31. doi:10.1016/j.plrev.2016.10.004","ieee":"C. Hilbe and A. Traulsen, “Only the combination of mathematics and agent based simulations can leverage the full potential of evolutionary modeling: Comment on ‘Evolutionary game theory using agent-based methods’ by C. Adami, J. Schossau and A. Hintze,” Physics of Life Reviews, vol. 19. Elsevier, pp. 29–31, 2016."},"title":"Only the combination of mathematics and agent based simulations can leverage the full potential of evolutionary modeling: Comment on “Evolutionary game theory using agent-based methods” by C. Adami, J. Schossau and A. Hintze"}