Spontaneous Theory of Mind for Artificial Intelligence

被引：0
|
作者：
Gurney, Nikolos [1 ]
Pynadath, David, V [1 ,2 ]
Ustun, Volkan [1 ]
机构：
[1] Univ Southern Calif, Inst Creat Technol, Los Angeles, CA 90094 USA
[2] Univ Southern Calif, Comp Sci Dept, Los Angeles, CA 90007 USA
来源：
HUMAN-COMPUTER INTERACTION, PT I, HCI 2024 | 2024年 / 14684卷
关键词：
Theory of Mind; Artificial Social Intelligence; Human Cognition; Human-AI Interaction; COMPUTATION; RETRIEVAL; KNOWLEDGE; MEMORY;
D O I：
10.1007/978-3-031-60405-8_5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Existing approaches to Theory of Mind (ToM) in Artificial Intelligence (AI) overemphasize prompted, or cue-based, ToM, which may limit our collective ability to develop Artificial Social Intelligence (ASI). Drawing from research in computer science, cognitive science, and related disciplines, we contrast prompted ToM with what we call spontaneous ToM-reasoning about others' mental states that is grounded in unintentional, possibly uncontrollable cognitive functions. We argue for a principled approach to studying and developing AI ToM and suggest that a robust, or general, ASI will respond to prompts and spontaneously engage in social reasoning.
引用
收藏
页码：60 / 75
页数：16
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