MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation explores Create optimized AI agents that actively elicit human input for object-driven planning using a neuro-symbolic model.. Commercial viability score: 7/10 in Agents.
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