Spontaneous Theory of Mind for Artificial Intelligence
February 16, 2024 Β· Declared Dead Β· π InteracciΓ³n
"No code URL or promise found in abstract"
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Authors
Nikolos Gurney, David V. Pynadath, Volkan Ustun
arXiv ID
2402.13272
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
3
Venue
InteracciΓ³n
Last Checked
4 months ago
Abstract
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 \textit{and} spontaneously engage in social reasoning.
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