Schulz Eric, Quiroga Francisco, Gershman Samuel J
Max Planck Institute for Biological Cybernetics.
University College London.
Open Mind (Camb). 2020 Aug 1;4:25-39. doi: 10.1162/opmi_a_00032. eCollection 2020.
How do people perceive and communicate structure? We investigate this question by letting participants play a communication game, where one player describes a pattern, and another player redraws it based on the description alone. We use this paradigm to compare two models of pattern description, one compositional (complex structures built out of simpler ones) and one noncompositional. We find that compositional patterns are communicated more effectively than noncompositional patterns, that a compositional model of pattern description predicts which patterns are harder to describe, and that this model can be used to evaluate participants' drawings, producing humanlike quality ratings. Our results suggest that natural language can tap into a compositionally structured pattern description language.
人们如何感知和传达结构？我们通过让参与者玩一个交流游戏来研究这个问题，在这个游戏中，一个玩家描述一种模式，另一个玩家仅根据描述重新绘制它。我们使用这种范式来比较两种模式描述模型，一种是组合式的（由更简单的结构构建出复杂结构），另一种是非组合式的。我们发现组合式模式比非组合式模式传达得更有效，模式描述的组合式模型可以预测哪些模式更难描述，并且该模型可用于评估参与者的绘图，得出类似人类的质量评级。我们的结果表明，自然语言可以利用一种组合式结构化的模式描述语言。
