Find all the TopSymbolic and Logic-Based AI papers. Links to pdf, code repos and demos are provided.
Recent advances in theoretical biology suggest that basal cognition and sentient behaviour are emergent properties of in vitro cell cultures and neuro...
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Reviews the need for a unified cell ontology within the context of the Human Cell Atlas initiative, addressing the complexities arising from massive s...
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Investigates the relationship between causality, symmetry, and data compression, proposing a framework where causality emerges through data compressio...
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The International AI Safety Report synthesizes current evidence on the capabilities, risks, and safety of advanced general-purpose AI systems, drawing...
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We advance the recently proposed neuro-symbolic Differentiable Tree Machine, which learns tree operations using a combination of transformers and Tens...
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Understanding commonsense causality is a unique mark of intelligence for humans. It helps people understand the principles of the real world better an...
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How can agents learn internal models that veridically represent interactions with the real world is a largely open question. As machine learning is mo...
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Addresses the challenge of enabling machine learners to generalize knowledge from simpler tasks to more complex ones through a novel framework called ...
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Presents an approach of using methods of process mining and rule-based artificial intelligence to analyze and understand study paths of students based...
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With computers to handle more and more complicated things in variable
environments, it becomes an urgent requirement that the artificial intelligence
...
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Logical relations widely exist in human activities. Human use them for making judgement and decision according to various conditions, which are embodi...
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Introduces START, a novel long chain-of-thought (CoT) reasoning model that integrates external tools, specifically a Python interpreter, to enhance re...
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