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Auteur principal: Huang, Gavin
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Publié: Zenodo 2026
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Accès en ligne:https://doi.org/10.5281/zenodo.19625379
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_version_ 1866902129133748224
author Huang, Gavin
author_facet Huang, Gavin
contents <p class="MsoNormal"><strong>Abstract</strong></p> <p class="MsoNormal"><strong> </strong></p> <p class="MsoNormal">Current AI is trapped in the Stochastic Paradigm: high-dimensional probabilities produce hallucinations, inconsistency, and fragile reasoning. To address these issues, this paper introduces the rule-based mechanism of human logical thinking, which follows a set of universal rules to perform the corresponding types of thinking. Behind this lies a mechanism through which neural activity follows <strong>the objective interrelationships</strong><strong> </strong>to establish<strong> <strong>the corresponding conceptual relations</strong></strong> within the neural network. Thus, the relationships of serial, parallel, convergence, divergence and symmetry are correspondingly translated into causal thinking, parallel thinking (analogy), convergent thinking (inductive reasoning and generalization), divergent thinking (deductive reasoning) and symmetrical thinking (opposite thinking).</p> <p class="MsoNormal"> </p> <p class="MsoNormal">The investigation of logical thinking is part of the much broader ontological research project on <em>A Theory of Everything</em>. This research reveals that the rules of logical thinking are the fundamental rules underlying everything in the universe. These rules include serial, transition, transition point, continuation, discontinuation, parallel, similarity, commonality, difference, common mechanism, convergence, divergence, contraction, expansion, symmetry, asymmetry, limitation, limitlessness, order, disorder, hierarchy and interconnectedness. These concepts can be represented by an ontological framework: a geometric model – the Fundamental Interrelationships Model (IRM) and its associated ontological-mathematical formulation. This framework can be applied to logical thinking to the various issues of AI, such as Epistemic Instability (Hallucinations), Stochastic Variance (Inconsistency), Pattern Overgeneralization, Input Fragility (Prompt Sensitivity), Recursive Decay and so on…</p>
format Recurso digital
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language
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spellingShingle The Most Powerful Mechanism of Logical Thinking Survived in Evolution: Universal Human Relationship–Based Reasoning as a Blueprint for AGI
Huang, Gavin
Artificial intelligence,
Epistemic Instability (Hallucinations),
Stochastic Variance (Inconsistency)
Pattern Overgeneralization
Input Fragility (Prompt Sensitivity)
Recursive Decay
<p class="MsoNormal"><strong>Abstract</strong></p> <p class="MsoNormal"><strong> </strong></p> <p class="MsoNormal">Current AI is trapped in the Stochastic Paradigm: high-dimensional probabilities produce hallucinations, inconsistency, and fragile reasoning. To address these issues, this paper introduces the rule-based mechanism of human logical thinking, which follows a set of universal rules to perform the corresponding types of thinking. Behind this lies a mechanism through which neural activity follows <strong>the objective interrelationships</strong><strong> </strong>to establish<strong> <strong>the corresponding conceptual relations</strong></strong> within the neural network. Thus, the relationships of serial, parallel, convergence, divergence and symmetry are correspondingly translated into causal thinking, parallel thinking (analogy), convergent thinking (inductive reasoning and generalization), divergent thinking (deductive reasoning) and symmetrical thinking (opposite thinking).</p> <p class="MsoNormal"> </p> <p class="MsoNormal">The investigation of logical thinking is part of the much broader ontological research project on <em>A Theory of Everything</em>. This research reveals that the rules of logical thinking are the fundamental rules underlying everything in the universe. These rules include serial, transition, transition point, continuation, discontinuation, parallel, similarity, commonality, difference, common mechanism, convergence, divergence, contraction, expansion, symmetry, asymmetry, limitation, limitlessness, order, disorder, hierarchy and interconnectedness. These concepts can be represented by an ontological framework: a geometric model – the Fundamental Interrelationships Model (IRM) and its associated ontological-mathematical formulation. This framework can be applied to logical thinking to the various issues of AI, such as Epistemic Instability (Hallucinations), Stochastic Variance (Inconsistency), Pattern Overgeneralization, Input Fragility (Prompt Sensitivity), Recursive Decay and so on…</p>
title The Most Powerful Mechanism of Logical Thinking Survived in Evolution: Universal Human Relationship–Based Reasoning as a Blueprint for AGI
topic Artificial intelligence,
Epistemic Instability (Hallucinations),
Stochastic Variance (Inconsistency)
Pattern Overgeneralization
Input Fragility (Prompt Sensitivity)
Recursive Decay
url https://doi.org/10.5281/zenodo.19625379