Institute of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
University of Chinese Academy of Sciences, Beijing, China.
Elife. 2022 Mar 14;11:e74500. doi: 10.7554/eLife.74500.
Humans can often handle daunting tasks with ease by developing a set of strategies to reduce decision-making into simpler problems. The ability to use heuristic strategies demands an advanced level of intelligence and has not been demonstrated in animals. Here, we trained macaque monkeys to play the classic video game Pac-Man. The monkeys' decision-making may be described with a strategy-based hierarchical decision-making model with over 90% accuracy. The model reveals that the monkeys adopted the take-the-best heuristic by using one dominating strategy for their decision-making at a time and formed compound strategies by assembling the basis strategies to handle particular game situations. With the model, the computationally complex but fully quantifiable Pac-Man behavior paradigm provides a new approach to understanding animals' advanced cognition.
人类通常可以通过制定一套策略将决策简化为更简单的问题来轻松应对艰巨的任务。使用启发式策略的能力需要高级别的智能,并且尚未在动物中得到证明。在这里,我们训练猕猴玩经典视频游戏吃豆人。猴子的决策可以用基于策略的分层决策模型来描述,准确率超过 90%。该模型表明,猴子通过一次使用一种占主导地位的策略来采用最佳启发式策略,并通过组装基础策略来处理特定的游戏情况来形成复合策略。通过该模型,计算复杂但完全可量化的吃豆人行为范式为理解动物的高级认知提供了一种新方法。