The Gopher Grounds: Testing the Link between Structure and Function in Simple Machines
The Gopher Grounds: Testing the Link between Structure and Function in Simple Machines
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DOI：
10.5220/0010900900003116
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发表时间：
2022
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影响因子：
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通讯作者：
Anshul Kamath;Jiayi Zhao;Nick Grisanti;George D. Montañez
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文献类型：
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作者：
Anshul Kamath;Jiayi Zhao;Nick Grisanti;George D. Montañez
结构决定功能吗？功能能否从结构可靠地推断出来？先前的工作已经表明，人工代理检测功能的能力（例如，致死性）从结构（例如，陷阱的连贯性）可以带来可衡量的生存优势。我们探索简单的组合机器的结构和功能之间的联系，使用遗传算法生成陷阱的结构（连贯性）和没有功能（无杀伤力），生成陷阱的功能和没有结构，并生成陷阱的结构和功能。我们探讨的算法产生的陷阱的特点，研究遗传算法的能力，产生的结构，功能，以及它们的组合，并调查需要什么资源的遗传算法可靠地成功地完成这些任务。我们发现，产生杀伤力（功能）比产生连贯性（结构）更容易，并且对一个进行优化并不能可靠地产生另一个。
Does structure dictate function and can function be reliably inferred from structure? Previous work has shown that an artificial agent’s ability to detect function (e.g., lethality) from structure (e.g., the coherence of traps) can confer measurable survival advantages. We explore the link between structure and function in simple combinatorial machines, using genetic algorithms to generate traps with structure (coherence) and no function (no lethality), generate traps with function and no structure, and generate traps with both structure and function. We explore the characteristics of the algorithmically generated traps, examine the genetic algorithms’ ability to produce structure, function, and their combination, and investigate what resources are needed for the genetic algorithms to reliably succeed at these tasks. We find that producing lethality (function) is easier than producing coherence (structure) and that optimizing for one does not reliably produce the other.