话语
推论
认知科学
手势
动作(物理)
背景(考古学)
透视图(图形)
口译(哲学)
计算模型
人际交往
认知
过程(计算)
光学(聚焦)
计算机科学
心理学
沟通
认知心理学
人工智能
生物
神经科学
古生物学
程序设计语言
物理
光学
操作系统
量子力学
作者
Manuel Bohn,Katja Liebal,Linda Oña,Michael Henry Tessler
标识
DOI:10.1098/rstb.2021.0096
摘要
Human communication has been described as a contextual social inference process. Research into great ape communication has been inspired by this view to look for the evolutionary roots of the social, cognitive and interactional processes involved in human communication. This approach has been highly productive, yet it is partly compromised by the widespread focus on how great apes use and understand individual signals. This paper introduces a computational model that formalizes great ape communication as a multi-faceted social inference process that integrates (a) information contained in the signals that make up an utterance, (b) the relationship between communicative partners and (c) the social context. This model makes accurate qualitative and quantitative predictions about real-world communicative interactions between semi-wild-living chimpanzees. When enriched with a pragmatic reasoning process, the model explains repeatedly reported differences between humans and great apes in the interpretation of ambiguous signals (e.g. pointing or iconic gestures). This approach has direct implications for observational and experimental studies of great ape communication and provides a new tool for theorizing about the evolution of uniquely human communication. This article is part of the theme issue 'Revisiting the human 'interaction engine': comparative approaches to social action coordination'.
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