The Drivers of Heuristic Optimization in Insect Object Manufacture and Use.
The Drivers of Heuristic Optimization in Insect Object Manufacture and Use.
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DOI：
10.3389/fpsyg.2018.01015
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发表时间：
2018
影响因子：
3.8
通讯作者：
Robert D
中科院分区：
文献类型：
--
作者：
Mhatre N;Robert D
昆虫的大脑很小，这里提出了一个很好的模型来描述昆虫如何优化它们制造和使用的物体。一般来说，算法被认为通过减少决策所需的计算资源来提高决策的速度。由此推论，启发式决策也被认为是对决策准确性的妥协。使用昆虫中的对象优化行为的例子，我们将论证，竞争并不必然意味着较低的计算负担或较低的决策准确性。我们还表明，启发式优化可能是由优化问题本身的某些特征驱动的：被优化的对象的属性，昆虫的生物学，以及被优化的函数的属性。我们还描绘了启发式优化的结构条件下，可以达到准确性相当于或优于更细粒度和繁重的优化方法。
Insects have small brains and heuristics or ‘rules of thumb’ are proposed here to be a good model for how insects optimize the objects they make and use. Generally, heuristics are thought to increase the speed of decision making by reducing the computational resources needed for making decisions. By corollary, heuristic decisions are also deemed to impose a compromise in decision accuracy. Using examples from object optimization behavior in insects, we will argue that heuristics do not inevitably imply a lower computational burden or lower decision accuracy. We also show that heuristic optimization may be driven by certain features of the optimization problem itself: the properties of the object being optimized, the biology of the insect, and the properties of the function being optimized. We also delineate the structural conditions under which heuristic optimization may achieve accuracy equivalent to or better than more fine-grained and onerous optimization methods.
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DOI：
10.1073/pnas.84.9.2727
发表时间：
1987-05-01
影响因子：
11.1
作者：
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影响因子：
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作者：
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发表时间：
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影响因子：
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影响因子：
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