Chapter 62 changes a decision inside the diagnostic compiler. Its counterexample-guided learner still traverses a fixed list of arithmetic candidates. A further change is possible without pretending that the learner invents its own computational foundations: it can acquire a reusable representation of that candidate space, then use the representation to reduce the work of synthesizing later rules.
Machine-Native ReasoningReading edition
63. Improving how discovery rules are acquired
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