当前位置: X-MOL 学术Journal of Comparative Psychology › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Strategy use in probabilistic categorization by rhesus macaques (Macaca mulatta) and capuchin monkeys (Cebus [Sapajus] apella).
Journal of Comparative Psychology ( IF 1.4 ) Pub Date : 2020-05-14 , DOI: 10.1037/com0000221
Will Whitham , David A. Washburn

Probabilistic categorization tasks present the learner with a set of possible responses and imperfect cue evidence of which response will be rewarded. A single, optimal integration of all available cues into an optimal response is possible given any set of evidence. In contrast, there are many possible uses of the cues that offer the learner suboptimal (but better than chance) responding. We presented a classic probabilistic categorization task to 3 rhesus macaques (Macaca mulatta) and 13 capuchin monkeys (Cebus [Sapajus] apella) to explore what strategies for integration of imperfectly predictive stimulus information would be used by the animals. Using the strategy analysis models that have been previously used to describe human strategy use in probabilistic categorization tasks, we fit each of thousands of blocks of responses to 25 types of response strategies ranging from complex cognitive strategies (e.g., optimal integration of all evidence) to heuristic strategies (e.g., identify a highly predictive cue and respond based only on its presence or absence) to rote behavior (e.g., choosing the same response every trial). Inferences about strategy use were highly stable within animals and were heterogeneous across animals, with some animals never using cue information and others using it fruitfully. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

中文翻译:

恒河猴(猕猴)和卷尾猴(Cebus [Sapajus] apella)在概率分类中使用策略。

概率分类任务向学习者提供了一组可能的响应,以及不完善的提示证据,表明将对这些响应进行奖励。给定任何证据,都可以将所有可用提示进行单个最佳整合,以达到最佳响应。相反,提示的许多可能用途使学习者获得次优(但比偶然性更好)的响应。我们向3只恒河猕猴(Macaca mulatta)和13只卷尾猴(Cebus [Sapajus] apella)提出了经典的概率分类任务,以探索动物将使用整合不完全预测性刺激信息的策略。使用先前用于描述概率分类任务中人类策略使用的策略分析模型,我们将数千种响应块与25种响应策略进行匹配,从复杂的认知策略(例如,所有证据的最佳整合)到启发式策略(例如,确定具有高度预测性的提示并仅根据其存在或不存在进行响应)死记硬背的行为(例如,每次试验选择相同的回答)。关于策略使用的推论在动物中是高度稳定的,并且在动物之间是异类的,有些动物从不使用提示信息,而另一些则有效地使用提示信息。(PsycInfo数据库记录(c)2020 APA,保留所有权利)。在每次试验中选择相同的回复)。关于策略使用的推论在动物中是高度稳定的,并且在动物之间是异类的,有些动物从不使用提示信息,而另一些则有效地使用提示信息。(PsycInfo数据库记录(c)2020 APA,保留所有权利)。在每次试验中选择相同的回复)。关于策略使用的推论在动物中是高度稳定的,并且在动物之间是异类的,有些动物从不使用提示信息,而另一些则有效地使用提示信息。(PsycInfo数据库记录(c)2020 APA,保留所有权利)。
更新日期:2020-05-14
down
wechat
bug