语言在人类和其他灵长类动物多模态交流中的地位

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Michael Sharwood Smith
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引用次数: 0

摘要

不同类别的人如何将不同的模式结合起来与他人进行意义交流,这一点已经引起了广泛关注。如何更深入地了解在多模态交流过程中同时调配和整合各种不同资源的认知处理过程,仍然是一项重大挑战。为了应对这一挑战,我们将采用模块化认知框架(Modular Cognition Framework)来分析人们如何利用所掌握的所有资源进行交流这一问题。讨论将包括这一框架的相关特点。然后,将讨论对人类与黑猩猩交流相似性的研究,接着比较语言交流与非语言交流,并考虑一种不同但相似的方法。重点将放在意义的作用以及概念系统和负责语言结构的两个系统之间的协同作用上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The place of language in multimodal communication in humans and other primates

Much attention has been paid to ways in which different categories of individual combine different modalities to communicate meanings to others. One major challenge that remains is to gain a deeper understanding of the cognitive processing responsible for the simultaneous deployment and integration of various different resources during multimodal communication. In response to this challenge, a Modular Cognition Framework analysis will be applied to the question of how people communicate using all the resources at their disposal. The discussion will include relevant features of this framework. Then research into similarities between humans and chimpanzee communication will be discussed followed by a comparison between verbal and non- verbal communication and a consideration of a distinct but similar approach. Emphasis will be placed on the role of meaning and on synergies between the conceptual system and the two systems responsible for linguistic structure.

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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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