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On the inference of function from structure using biomechanical modelling and simulation of extinct organisms
Author(s) -
John R. Hutchinson
Publication year - 2011
Publication title -
biology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.596
H-Index - 110
eISSN - 1744-957X
pISSN - 1744-9561
DOI - 10.1098/rsbl.2011.0399
Subject(s) - inference , simplicity , biology , reliability (semiconductor) , function (biology) , field (mathematics) , data science , computer science , ecology , artificial intelligence , evolutionary biology , epistemology , mathematics , philosophy , power (physics) , physics , quantum mechanics , pure mathematics
Biomechanical modelling and simulation techniques offer some hope for unravelling the complex inter-relationships of structure and function perhaps even for extinct organisms, but have their limitations owing to this complexity and the many unknown parameters for fossil taxa. Validation and sensitivity analysis are two indispensable approaches for quantifying the accuracy and reliability of such models or simulations. But there are other subtleties in biomechanical modelling that include investigator judgements about the level of simplicity versus complexity in model design or how uncertainty and subjectivity are dealt with. Furthermore, investigator attitudes toward models encompass a broad spectrum between extreme credulity and nihilism, influencing how modelling is conducted and perceived. Fundamentally, more data and more testing of methodology are required for the field to mature and build confidence in its inferences.

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