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巨猿交流作为语境社会推理:计算建模视角。

Great ape communication as contextual social inference: a computational modelling perspective.

机构信息

Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany.

Institute of Biology, Leipzig University, 04103 Leipzig, Germany.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2022 Sep 12;377(1859):20210096. doi: 10.1098/rstb.2021.0096. Epub 2022 Jul 25.

DOI:10.1098/rstb.2021.0096
PMID:35876204
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9310183/
Abstract

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'.

摘要

人类交流被描述为一种语境化的社会推理过程。受这一观点的启发,针对大型猿类交流的研究旨在寻找涉及人类交流的社会、认知和相互作用过程的进化根源。这种方法非常有成效,但它在一定程度上受到广泛关注大型猿类如何使用和理解单个信号的限制。本文介绍了一个计算模型,该模型将大型猿类的交流形式化为一个多方面的社会推理过程,该过程整合了(a)构成话语的信号中包含的信息,(b)交际伙伴之间的关系,以及(c)社会背景。该模型对半野生生活的黑猩猩之间的真实交际互动做出了准确的定性和定量预测。当用语用推理过程丰富时,该模型解释了人类和大型猿类在解释模棱两可的信号(例如指向或标志性手势)方面反复报告的差异。这种方法对大型猿类交流的观察和实验研究具有直接的影响,并为关于独特的人类交流的进化的理论提供了新的工具。本文是主题为“重新审视人类‘互动引擎’:社会行为协调的比较方法”的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81f8/9310183/0a159168417a/rstb20210096f04.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81f8/9310183/00f485271b26/rstb20210096f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81f8/9310183/0a159168417a/rstb20210096f04.jpg