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猩猩(Pongo pygmaeus)在解决包含多个障碍物的试验独特的益智管任务时会使用哪些认知策略?

What cognitive strategies do orangutans (Pongo pygmaeus) use to solve a trial-unique puzzle-tube task incorporating multiple obstacles?

机构信息

School of Biosciences, University of Birmingham, Edgbaston, Birmingham, UK.

出版信息

Anim Cogn. 2012 Jan;15(1):121-33. doi: 10.1007/s10071-011-0438-x. Epub 2011 Jul 15.

Abstract

Apparently sophisticated behaviour during problem-solving is often the product of simple underlying mechanisms, such as associative learning or the use of procedural rules. These and other more parsimonious explanations need to be eliminated before higher-level cognitive processes such as causal reasoning or planning can be inferred. We presented three Bornean orangutans with 64 trial-unique configurations of a puzzle-tube to investigate whether they were able to consider multiple obstacles in two alternative paths, and subsequently choose the correct direction in which to move a reward in order to retrieve it. We were particularly interested in how subjects attempted to solve the task, namely which behavioural strategies they could have been using, as this is how we may begin to elucidate the cognitive mechanisms underpinning their choices. To explore this, we simulated performance outcomes across the 64 trials for various procedural rules and rule combinations that subjects may have been using based on the configuration of different obstacles. Two of the three subjects solved the task, suggesting that they were able to consider at least some of the obstacles in the puzzle-tube before executing action to retrieve the reward. This is impressive compared with the past performances of great apes on similar, arguably less complex tasks. Successful subjects may have been using a heuristic rule combination based on what they deemed to be the most relevant cue (the configuration of the puzzle-tube ends), which may be a cognitively economical strategy.

摘要

在解决问题的过程中,表面上复杂的行为往往是简单的潜在机制的产物,例如联想学习或程序性规则的使用。在推断因果推理或规划等更高层次的认知过程之前,需要排除这些以及其他更简约的解释。我们为三只婆罗洲猩猩提供了 64 种独特的拼图管配置,以调查它们是否能够考虑两条替代路径中的多个障碍物,然后选择正确的方向移动奖励以获取它。我们特别感兴趣的是受试者试图解决任务的方式,即他们可能正在使用哪些行为策略,因为这是我们开始阐明其选择背后的认知机制的方式。为了探索这一点,我们根据不同障碍物的配置,模拟了 64 次试验中各种程序性规则和规则组合的表现结果。其中两个主题解决了任务,这表明它们在执行行动以获取奖励之前,至少可以考虑拼图管中的一些障碍物。与过去在类似的、可以说不太复杂的任务上的大型类人猿的表现相比,这令人印象深刻。成功的受试者可能使用了一种基于他们认为最相关线索(拼图管末端的配置)的启发式规则组合,这可能是一种认知经济的策略。

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