{"author":[{"first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","last_name":"Barton"},{"last_name":"Zuidema","full_name":"Zuidema, Willem","first_name":"Willem"}],"doi":"10.1016/S0960-9822(03)00573-6","_id":"4256","volume":13,"date_published":"2003-08-19T00:00:00Z","publication_status":"published","day":"19","publication":"Current Biology","user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","page":"R649 - R651","intvolume":" 13","language":[{"iso":"eng"}],"publist_id":"1838","quality_controlled":"1","date_updated":"2024-01-23T09:41:33Z","month":"08","title":"The erratic path towards complexity","article_processing_charge":"No","scopus_import":"1","date_created":"2018-12-11T12:07:53Z","citation":{"ista":"Barton NH, Zuidema W. 2003. The erratic path towards complexity. Current Biology. 13(16), R649–R651.","short":"N.H. Barton, W. Zuidema, Current Biology 13 (2003) R649–R651.","ieee":"N. H. Barton and W. Zuidema, “The erratic path towards complexity,” Current Biology, vol. 13, no. 16. Cell Press, pp. R649–R651, 2003.","ama":"Barton NH, Zuidema W. The erratic path towards complexity. Current Biology. 2003;13(16):R649-R651. doi:10.1016/S0960-9822(03)00573-6","mla":"Barton, Nicholas H., and Willem Zuidema. “The Erratic Path towards Complexity.” Current Biology, vol. 13, no. 16, Cell Press, 2003, pp. R649–51, doi:10.1016/S0960-9822(03)00573-6.","chicago":"Barton, Nicholas H, and Willem Zuidema. “The Erratic Path towards Complexity.” Current Biology. Cell Press, 2003. https://doi.org/10.1016/S0960-9822(03)00573-6.","apa":"Barton, N. H., & Zuidema, W. (2003). The erratic path towards complexity. Current Biology. Cell Press. https://doi.org/10.1016/S0960-9822(03)00573-6"},"type":"journal_article","oa_version":"Published Version","extern":"1","status":"public","article_type":"original","issue":"16","publisher":"Cell Press","abstract":[{"text":"Artificial Life models may shed new light on the long-standing challenge for evolutionary biology of explaining the origins of complex organs. Real progress on this issue, however, requires Artificial Life researchers to take seriously the tools and insights from population genetics.","lang":"eng"}],"year":"2003","publication_identifier":{"issn":["0960-9822"]}}