P. Ballet, Jérémy Rivière, Alain Pothet, M. Theron, K. Pichavant, F. Abautret, Alexandra Fronville, V. Rodin
{"title":"Modelling and Simulating Complex Systems in Biology","authors":"P. Ballet, Jérémy Rivière, Alain Pothet, M. Theron, K. Pichavant, F. Abautret, Alexandra Fronville, V. Rodin","doi":"10.4018/978-1-7998-1204-3.ch048","DOIUrl":null,"url":null,"abstract":"Modelling and teaching complex biological systems is a difficult process. Multi-Agent Based Simulations (MABS) have proved to be an appropriate approach both in research and education when dealing with such systems including emergent, self-organizing phenomena. This chapter presents NetBioDyn, an original software aimed at biologists (students, teachers, researchers) to easily build and simulate complex biological mechanisms observed in multicellular and molecular systems. Thanks to its specific graphical user interface guided by the multi-agent paradigm, this software does not need any prerequisite in computer programming. It thus allows users to create in a simple way bottom-up models where unexpected behaviours can emerge from many interacting entities. This multi-platform software has been used in middle schools, high schools and universities since 2010. A qualitative survey is also presented, showing its ability to adapt to a wide and heterogeneous audience. The Java executable and the source code are available online at http://virtulab.univ-brest.fr.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Analytics in Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-1204-3.ch048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Modelling and teaching complex biological systems is a difficult process. Multi-Agent Based Simulations (MABS) have proved to be an appropriate approach both in research and education when dealing with such systems including emergent, self-organizing phenomena. This chapter presents NetBioDyn, an original software aimed at biologists (students, teachers, researchers) to easily build and simulate complex biological mechanisms observed in multicellular and molecular systems. Thanks to its specific graphical user interface guided by the multi-agent paradigm, this software does not need any prerequisite in computer programming. It thus allows users to create in a simple way bottom-up models where unexpected behaviours can emerge from many interacting entities. This multi-platform software has been used in middle schools, high schools and universities since 2010. A qualitative survey is also presented, showing its ability to adapt to a wide and heterogeneous audience. The Java executable and the source code are available online at http://virtulab.univ-brest.fr.
复杂生物系统的建模和教学是一个困难的过程。基于多智能体的仿真(Multi-Agent Based Simulations, MABS)已被证明是一种适用于研究和教育的方法。本章介绍NetBioDyn,一个针对生物学家(学生,教师,研究人员)的原始软件,可以轻松构建和模拟在多细胞和分子系统中观察到的复杂生物机制。由于其特定的图形用户界面由多智能体范式指导,该软件不需要任何计算机编程的先决条件。因此,它允许用户以一种简单的方式创建自底向上的模型,在这种模型中,意想不到的行为可以从许多交互实体中出现。自2010年以来,该多平台软件已在初中,高中和大学中使用。定性调查也提出,显示其能力,以适应广泛和异质的观众。Java可执行文件和源代码可在http://virtulab.univ-brest.fr上在线获得。