Schurger Aaron
a Laboratory of Cognitive Neuroscience, Brain Mind Institute, School of Life Sciences , Ecole Polytechnique Fédérale de Lausanne , Lausanne , Switzerland.
Cogn Neurosci. 2014;5(3-4):213-4. doi: 10.1080/17588928.2014.950214. Epub 2014 Aug 27.
Nachev and Hacker are justified in drawing our attention to the importance of conceptual clarity and coherence as these are too often overshadowed by technical sophistication and methodological rigor, which by themselves count for little. But can a process of "conceptual analysis" actually help us to avoid pitfalls, or does it merely serve to expose those pitfalls in hindsight? What is needed is a method for making scientific arguments formulaic and laying bare the implicit assumptions. We have tools for this, but not everyone uses them.
纳切夫和哈克提请我们注意概念清晰性和连贯性的重要性,这是合理的,因为这些常常被技术复杂性和方法严谨性所掩盖,而技术复杂性和方法严谨性本身的价值不大。但是,“概念分析”过程真的能帮助我们避免陷阱吗?还是仅仅是事后诸葛亮地揭示那些陷阱呢?我们需要的是一种使科学论证公式化并揭示隐含假设的方法。我们有这样的工具,但并非每个人都使用它们。