元认知在选择退出范式中何时发展?

IF 1.9 2区 生物学 Q3 BEHAVIORAL SCIENCES
Robin Watson
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引用次数: 0

摘要

元认知(对自身知识的认知)在人类中被认为是理所当然的,但其在非人类动物中的进化却不甚明了。虽然有实验证据表明,不同物种之间似乎存在元认知判断,但研究很少关注元认知进化的原因。为了解决这个问题,我提出了一个选择退出范式的进化模型,这是一个用来评估动物元认知的常用实验。个体会反复面临一项任务或一个问题,他们必须在选择退出并获得固定回报,还是选择加入并在成功完成任务后获得更大回报之间做出决定。偏差和元认知这两种不断变化的特征共同决定了个体是否选择加入。任务的奖励、成功的平均概率和成功在不同试验中的变异性以及元认知的成本都是不同的。结果确定了元认知发展的两种情况:(1) 成功变异性高的环境;(2) 平均成功率低但奖励高的环境。总体而言,研究结果支持元认知进化过程中存在不确定性的预测,但也表明元认知也可能在这样的条件下进化,即元认知可以用来识别那些原本无法获得的高回报很容易获得的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When does metacognition evolve in the opt-out paradigm?

Metacognition (awareness of one’s own knowledge) is taken for granted in humans, but its evolution in non-human animals is not well understood. While there is experimental evidence of seemingly metacognitive judgements across species, studies rarely focus on why metacognition may have evolved. To address this, I present an evolutionary model of the opt-out paradigm, a common experiment used to assess animal’s metacognition. Individuals are repeatedly presented with a task or problem and must decide between opting-out and receiving a fixed payoff or opting-in and receiving a larger reward if they successfully solve the task. Two evolving traits – bias and metacognition – jointly determine whether individuals opt-in. The task’s reward, the mean probability of success and the variability in success across trials, and the cost of metacognition were varied. Results identify two scenarios where metacognition evolves: (1) environments where success variability is high; and (2) environments where mean success is low, but rewards are high. Overall, the results support predictions implicating uncertainty in the evolution of metacognition but suggest metacognition may also evolve in conditions where metacognition can be used to identify cases where an otherwise inaccessible high payoff is easy to acquire.

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来源期刊
Animal Cognition
Animal Cognition 生物-动物学
CiteScore
4.50
自引率
18.50%
发文量
125
审稿时长
4-8 weeks
期刊介绍: Animal Cognition is an interdisciplinary journal offering current research from many disciplines (ethology, behavioral ecology, animal behavior and learning, cognitive sciences, comparative psychology and evolutionary psychology) on all aspects of animal (and human) cognition in an evolutionary framework. Animal Cognition publishes original empirical and theoretical work, reviews, methods papers, short communications and correspondence on the mechanisms and evolution of biologically rooted cognitive-intellectual structures. The journal explores animal time perception and use; causality detection; innate reaction patterns and innate bases of learning; numerical competence and frequency expectancies; symbol use; communication; problem solving, animal thinking and use of tools, and the modularity of the mind.
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