Department of Zoology, Oxford University, South Parks Road, Oxford OX1 3PS, United Kingdom.
St John's College, Oxford University, Oxford OX1 3JP, United Kingdom.
Evolution. 2019 Jun;73(6):1066-1076. doi: 10.1111/evo.13739. Epub 2019 Apr 25.
For some decades most biologists interested in design have agreed that natural selection leads to organisms acting as if they are maximizing a quantity known as "inclusive fitness." This maximization principle has been criticized on the (uncontested) grounds that other quantities, such as offspring number, predict gene frequency changes accurately in a wider range of mathematical models. Here, we adopt a resolution offered by Birch, who accepts the technical difficulties of establishing inclusive fitness maximization in a fully general model, while concluding that inclusive fitness is still useful as an organizing framework. We set out in more detail why inclusive fitness is such a practical and powerful framework, and provide verbal and conceptual arguments for why social biology would be more or less impossible without it. We aim to help mathematicians understand why social biologists are content to use inclusive fitness despite its theoretical weaknesses. Here, we also offer biologists practical advice for avoiding potential pitfalls.
几十年来,大多数对设计感兴趣的生物学家都同意,自然选择导致生物体表现得好像它们在最大化一个被称为“包容性适合度”的数量。这个最大化原则受到了批评,理由是在更广泛的数学模型中,其他数量,如后代数量,能够准确地预测基因频率的变化。在这里,我们采用了 Birch 提出的一个解决方案,他接受了在一个完全通用的模型中建立包容性适合度最大化的技术困难,同时得出结论,包容性适合度仍然是一个有用的组织框架。我们更详细地阐述了为什么包容性适合度是一个如此实用和强大的框架,并提供了口头和概念上的论据,说明如果没有它,社会生物学将或多或少是不可能的。我们的目的是帮助数学家理解为什么社会生物学家尽管理论上存在弱点,但仍然满足于使用包容性适合度。在这里,我们还为生物学家提供了避免潜在陷阱的实用建议。