School of Earth Sciences, University of Bristol, Bristol, UK.
Biol Lett. 2012 Feb 23;8(1):119-22. doi: 10.1098/rsbl.2011.0674. Epub 2011 Aug 24.
Models are a principal tool of modern science. By definition, and in practice, models are not literal representations of reality but provide simplifications or substitutes of the events, scenarios or behaviours that are being studied or predicted. All models make assumptions, and palaeontological models in particular require additional assumptions to study unobservable events in deep time. In the case of functional analysis, the degree of missing data associated with reconstructing musculoskeletal anatomy and neuronal control in extinct organisms has, in the eyes of some scientists, rendered detailed functional analysis of fossils intractable. Such a prognosis may indeed be realized if palaeontologists attempt to recreate elaborate biomechanical models based on missing data and loosely justified assumptions. Yet multiple enabling methodologies and techniques now exist: tools for bracketing boundaries of reality; more rigorous consideration of soft tissues and missing data and methods drawing on physical principles that all organisms must adhere to. As with many aspects of science, the utility of such biomechanical models depends on the questions they seek to address, and the accuracy and validity of the models themselves.
模型是现代科学的主要工具。从定义和实践上讲,模型不是现实的字面表示,而是对正在研究或预测的事件、场景或行为进行简化或替代。所有模型都有假设,而古生物学模型尤其需要额外的假设来研究在远古时期不可观察的事件。在功能分析的情况下,一些科学家认为,在重建已灭绝生物的肌肉骨骼解剖结构和神经元控制方面,与数据缺失相关的程度使得对化石进行详细的功能分析变得棘手。如果古生物学家试图根据缺失的数据和不合理的假设来重建复杂的生物力学模型,那么这种预测确实可能成为现实。然而,现在已经存在多种可行的方法和技术:用于框定现实边界的工具;更严格地考虑软组织和缺失数据的方法,以及利用所有生物都必须遵守的物理原理的方法。与科学的许多方面一样,这些生物力学模型的实用性取决于它们试图解决的问题,以及模型本身的准确性和有效性。