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Computing US 12,536,213 B2 Not in force

Composite symbolic and non-symbolic artificial intelligence system for advanced reasoning and automation

This is a smart computer system that combines two types of artificial intelligence: one that uses rules and facts like a structured database, and another that learns patterns from data like a brain. It works by creating numerical representations of data using learning models, storing facts in a structured knowledge base, and then intelligently blending these to make decisions. The system specifically uses reinforcement learning to improve how it updates these data representations and how it combines different AI models.

Why it matters: The rapid evolution of large language models and their integration with symbolic systems, alongside more mature reinforcement learning frameworks, makes building such a composite AI more practical and powerful now.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedComplex AI software, neural networks, knowledge graphs, RL

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