模仿
忠诚
计算机科学
高保真
认知科学
认知心理学
心理学
数理经济学
神经科学
数学
工程类
电信
电气工程
作者
Joel Z. Leibo,Raphaël Koster,Alexander Sasha Vezhnevets,Edgar A. Duéñez‐Guzmán,John Agapiou,Peter Sunehag
标识
DOI:10.1017/s0140525x22001364
摘要
What inductive biases must be incorporated into multi-agent artificial intelligence models to get them to capture high-fidelity imitation? We think very little is needed. In the right environments, both instrumental- and ritual-stance imitation can emerge from generic learning mechanisms operating on non-deliberative decision architectures. In this view, imitation emerges from trial-and-error learning and does not require explicit deliberation.
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