This invention describes a way for an artificial intelligence system, like one in a cyborg or android, to understand and process information using natural language. It works by creating three special internal references, called pointers, in the computer's memory. These pointers help the AI organize and access data related to its perceptions, associations, and thoughts, allowing it to manipulate information based on natural language input.
Why it matters: Filed before the widespread adoption of deep learning and large language models, this invention's focus on semantic analysis and natural language processing for AI is now far more achievable. Modern AI techniques, which implicitly map vocabulary to complex internal representations, could realize the 'pointer-oriented object acquisition' concept with unprecedented sophistication.
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