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The fallacy of general purpose bio-inspired computing

机译:通用生物启发式计算的谬误

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Bio-inspired computing comes in many flavours, inspired by biological systems from which salient features and/or organisational principles have been idealised and abstracted. These bio-inspired schemes have sometimes been demonstrated to be general purpose; able to approximate arbitrary dynamics, encode arbitrary structures, or even carry out universal computation. The generality of these abilities is typically (although often implicitly) reasoned to be an attractive and worthwhile trait. Here, it is argued that such reasoning is fallacious. Natural systems are nichiversal rather than universal, and we should expect the computational systems that they inspire to be similarly limited in their performance, even if they are ultimately capable of generality in their competence. Practical and methodological implications of this position for the use of bio-inspired computing within artificial life are outlined.
机译:受生物系统启发的生物系统具有多种风格,其中重要的特征和/或组织原理已从这些系统中被理想化和抽象化。这些以生物为灵感的计划有时被证明是通用的。能够近似任意动力学,对任意结构进行编码,甚至进行通用计算。这些能力的普遍性通常(尽管通常是隐含的)被认为是有吸引力且有价值的特征。在这里,有人认为这种推理是错误的。自然系统是通用的,而不是通用的,我们应该期望它们激发的计算系统在性能上也受到类似的限制,即使它们最终能够在通用性上胜任。概述了该职位在人工生活中使用生物启发式计算的实践和方法论意义。

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