Abstract From the beginning, a primary goal of the Cyc project has been to build a large knowledge base containing a store of formalized background knowledge suitable for supporting reasoning in a variety of domains. In this paper, we will discuss the portion of Cyc technology that has been released in open source form as OpenCyc, provide examples of the content available in ResearchCyc, and.. View a PDF of the paper titled Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc, by Doug Lenat and 1 other authors
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In this white paper, we discuss the strengths and weaknesses of Bayesian networks and assess how they compare to Cyc. We conclude that Bayesian networks are useful for limited models, but Cyc is a much more transparent solution for ML’s black box problem.. In this paper, we present a translation of a large part (around 90%) of the Cyc ontology into First-Order Logic. We discuss our methodology, and the trade-offs between expressivity and efficiency.
