认知与脑科学中的逆向工程
On Reverse Engineering in the Cognitive and Brain Sciences
摘要：
各种研究计划试图利用生物体和大脑的运作原理来开发替代的、受生物启发的计算范式和人工认知系统。本文回顾了认知科学和脑科学中复杂性研究的标准方法，即分解分析或逆向工程的主要特征。大脑和心灵的复杂性是无可争议的，这就提出了一个问题：是否可以通过标准方法来理解它们。事实上，最近在实验和理论领域的发现，问题的核心假设和假设的逆向工程。利用罗伯特·罗森所分析的模型关系，对科学分析方法本身进行了讨论。认知科学的基本假设，即复杂的认知系统可以通过逆向工程来分析、理解和复制，必须放弃。生物和行为的调查，以及工程人工认知系统的影响进行了讨论。
英文摘要：
Various research initiatives try to utilize the operational principles of organisms and brains to develop alternative, biologically inspired computing paradigms and artificial cognitive systems. This paper reviews key features of the standard method applied to complexity in the cognitive and brain sciences, i.e. decompositional analysis or reverse engineering. The indisputable complexity of brain and mind raise the issue of whether they can be understood by applying the standard method. Actually, recent findings in the experimental and theoretical fields, question central assumptions and hypotheses made for reverse engineering. Using the modeling relation as analyzed by Robert Rosen, the scientific analysis method itself is made a subject of discussion. It is concluded that the fundamental assumption of cognitive science, i.e. complex cognitive systems can be analyzed, understood and duplicated by reverse engineering, must be abandoned. Implications for investigations of organisms and behavior as well as for engineering artificial cognitive systems are discussed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
