Experimental symbolic reasoning infrastructure focused on transparent defeasible reasoning, replayable proof traces, and split evaluation of parsing, grounding, and reasoning failures.
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Updated
May 27, 2026 - Python
Experimental symbolic reasoning infrastructure focused on transparent defeasible reasoning, replayable proof traces, and split evaluation of parsing, grounding, and reasoning failures.
This repository is dedicated to exploring the concept of expert systems in artificial intelligence (AI). Expert systems are among the earliest and most impactful AI applications, designed to mimic the decision-making abilities of human experts in specific domains.
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📚 Enhance your understanding of expert systems with notes, summaries, and resources from DSAI 3302, focusing on rule-based systems and AI in Python.
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