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

机译:红毛猩猩(Pongo pygmaeus)使用什么认知策略来解决包含多个障碍的独特试管难题?

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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.
机译:解决问题过程中显然复杂的行为通常是简单的基础机制(例如,关联学习或程序规则的使用)的产物。在推断出更高层次的认知过程(例如因果推理或计划)之前,需要消除这些和其他更简约的解释。我们介绍了三只婆罗洲猩猩,它们具有64个试管拼图的独特配置,以研究它们是否能够在两条替代路径中考虑多个障碍,然后选择正确的方向移动奖励以进行奖励。我们对受试者如何解决任务特别感兴趣,也就是他们本可以使用哪种行为策略,因为这是我们开始阐明支撑他们选择的认知机制的方式。为了探索这一点,我们在64个试验中针对不同的程序规则和规则组合模拟了性能结果,这些规则可能是受试者根据不同障碍的配置而一直在使用的。三个主题中的两个解决了任务,表明他们能够在执行动作以获取奖励之前考虑到拼图管中的至少一些障碍。与大猿类过去在类似,可以说不太复杂的任务上的表现相比,这是令人印象深刻的。成功的受试者可能一直在根据他们认为最相关的提示(拼图管末端的配置)使用启发式规则组合,这可能是一种从经济角度考虑的策略。

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