AI Research
Position: Reasoning is a Learnable Rule-Based Process
Redefining autonomous logic to move beyond generative probabilistic models.
Autonomous reasoning is among the most scientifically and economically motivating topics in AI today. Historically the purview of symbolic AI, recent advances have mainly emerged from deep probabilistic generative models. Despite immense interest and rapid progress, the generativ...
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ArXiv CS.AI
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ArXiv CS.AI
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Bridging the gap between symbolic logic and deep learning is essential to move beyond the probabilistic nature of current models toward verifiable machine reasoning. By formalizing reasoning as a rule-based process, researchers can finally establish objective benchmarks for the reliability and trustworthiness of autonomous systems.
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