具身认知
意会
认知科学
认知机器人学
认知
社会认知
生成语法
运动认知
公民新闻
计算机科学
认识论
心理学
人工智能
知识管理
万维网
哲学
神经科学
作者
Manoj Deshpande,Brian Magerko
标识
DOI:10.1145/3613905.3650998
摘要
As artificial intelligence becomes more integral to daily life, the need to design AI systems capable of understanding human interactions is increasingly important. This paper delves into the integration of social cognition in AI, tracing back to its historical foundations and examining seminal theories like Newell's Bands of Cognition, Minsky's Society of Mind, etc., which have emphasized the importance of social cognition since AI's inception. We highlight the shortcomings of traditional computational theory of mind approaches, particularly in their failure to capture the embodied nature of social cognition. Advocating for including embodied socio-cognitive perspectives, we draw on theories such as Participatory Sensemaking and frameworks like Observable Creative Sensemaking. The paper further demonstrates the practical implementation of these concepts in AI through two case studies: one in co-creative dance AI and another in text-to-image generative AI systems.
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