Mike Holcombe, Salem Adra, Mesude Bicak, Shawn Chin, Simon Coakley, Alison I Graham, Jeffrey Green, Chris Greenough, Duncan Jackson, Mariam Kiran, Sheila MacNeil, Afsaneh Maleki-Dizaji, Phil McMinn, Mark Pogson, Robert Poole, Eva Qwarnstrom, Francis Ratnieks, Matthew D Rolfe, Rod Smallwood, Tao Sun, David Worth
{"title":"Modelling complex biological systems using an agent-based approach.","authors":"Mike Holcombe, Salem Adra, Mesude Bicak, Shawn Chin, Simon Coakley, Alison I Graham, Jeffrey Green, Chris Greenough, Duncan Jackson, Mariam Kiran, Sheila MacNeil, Afsaneh Maleki-Dizaji, Phil McMinn, Mark Pogson, Robert Poole, Eva Qwarnstrom, Francis Ratnieks, Matthew D Rolfe, Rod Smallwood, Tao Sun, David Worth","doi":"10.1039/c1ib00042j","DOIUrl":null,"url":null,"abstract":"<p><p>Many of the complex systems found in biology are comprised of numerous components, where interactions between individual agents result in the emergence of structures and function, typically in a highly dynamic manner. Often these entities have limited lifetimes but their interactions both with each other and their environment can have profound biological consequences. We will demonstrate how modelling these entities, and their interactions, can lead to a new approach to experimental biology bringing new insights and a deeper understanding of biological systems.</p>","PeriodicalId":520649,"journal":{"name":"Integrative biology : quantitative biosciences from nano to macro","volume":" ","pages":"53-64"},"PeriodicalIF":1.4000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrative biology : quantitative biosciences from nano to macro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1039/c1ib00042j","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2011/11/3 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Many of the complex systems found in biology are comprised of numerous components, where interactions between individual agents result in the emergence of structures and function, typically in a highly dynamic manner. Often these entities have limited lifetimes but their interactions both with each other and their environment can have profound biological consequences. We will demonstrate how modelling these entities, and their interactions, can lead to a new approach to experimental biology bringing new insights and a deeper understanding of biological systems.