The Best Model of a Cat Is Several Cats

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• 作者：Claes Gustafsson¹ ; ^{cgustafsson@dna20.com" class="auth_mail" title="E-mail the corresponding author} ; Jordi Vallverd&uacute ; ² ; ^{jordi.vallverdu@uab.cat" class="auth_mail" title="E-mail the corresponding author}
• 关键词：modeling ; knowledge ; truth ; statistics ; reproducibility
• 刊名：Trends in Biotechnology
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：34
• 期：3
• 页码：207-213
• 全文大小：1100 K

文摘

Modern biotechnology is emerging at the intersection of engineering, biology, physics, and computer science. As such it carries with it history from several disparate fields of research including a strong tradition in deductive reasoning primarily derived from discovery focused molecular biology and physics. Engineering biological systems is a complex undertaking requiring a broader set of epistemic tools and methods than what is usually applied in today's discovery based research. Inductive reasoning as commonly used in computer science has proven to be a very efficient approach to build knowledge about complex megadimensional datasets, including synthetic biology applications. The authors conclude that the multi-heuristic nature of modern biotechnology makes it an engineering field primed for inductive reasoning to complement the dominating deductive tradition.