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(巡回)销售商的消亡:灵长类动物没有表现出明确的多步骤路径规划的证据。

Death of the (traveling) salesman: primates do not show clear evidence of multi-step route planning.

机构信息

Division of Biological Sciences, The University of Montana, Missoula, Montana.

出版信息

Am J Primatol. 2014 May;76(5):410-20. doi: 10.1002/ajp.22186. Epub 2013 Aug 9.

Abstract

Several comparative studies have linked larger brain size to a fruit-eating diet in primates and other animals. The general explanation for this correlation is that fruit is a complex resource base, consisting of many discrete patches of many species, each with distinct nutritional traits, the production of which changes predictably both within and between seasons. Using this information to devise optimal spatial foraging strategies is among the most difficult problems to solve in all of mathematics, a version of the famous Traveling Salesman Problem. Several authors have suggested that primates might use their large brains and complex cognition to plan foraging strategies that approximate optimal solutions to this problem. Three empirical studies have examined how captive primates move when confronted with the simplest version of the problem: a spatial array of equally valuable goals. These studies have all concluded that the subjects remember many food source locations and show very efficient travel paths; some authors also inferred that the subjects may plan their movements based on considering combinations of three or more future goals at a time. This analysis re-examines critically the claims of planned movement sequences from the evidence presented. The efficiency of observed travel paths is largely consistent with use of the simplest of foraging rules, such as visiting the nearest unused "known" resource. Detailed movement sequences by test subjects are most consistent with a rule that mentally sums spatial information from all unused resources in a given trial into a single "gravity" measure that guides movements to one destination at a time.

摘要

几项比较研究将大脑较大与灵长类动物和其他动物的果食性联系起来。对于这种相关性的一般解释是,水果是一种复杂的资源基础,由许多不同物种的离散斑块组成,每个斑块都具有独特的营养特征,其产量在季节内和季节之间都可预测地变化。利用这些信息来设计最佳的空间觅食策略是所有数学中最困难的问题之一,这是著名的旅行商问题的一个版本。几位作者认为,灵长类动物可能会利用其较大的大脑和复杂的认知能力来规划觅食策略,这些策略接近解决该问题的最佳解决方案。三项实证研究检验了圈养灵长类动物在面对最简单版本的问题时如何移动:一个具有同等价值目标的空间排列。这些研究都得出结论,被试者记住了许多食物来源的位置,并表现出非常有效的旅行路径;一些作者还推断,被试者可能会根据一次考虑三个或更多未来目标的组合来规划他们的行动。这项分析从提出的证据中批判性地重新审视了有计划的运动序列的主张。观察到的旅行路径的效率在很大程度上与使用最简单的觅食规则一致,例如访问最近未使用的“已知”资源。测试对象的详细移动序列最符合一种规则,该规则将给定试验中所有未使用资源的空间信息心理地加总到单个“重力”度量中,该度量一次指导到一个目的地的运动。

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