Beyond Prediction -- Structuring Epistemic Integrity in Artificial Reasoning Systems

2025/06/19 by Wright, Craig Steven
#03B70 #68T27 #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #I.2.3 #I.2.4 #Logic (math.LO) #Logic in Computer Science (cs.LO)

paper · doi:10.48550/arxiv.2506.17331

Abstract

This paper develops a comprehensive framework for artificial intelligence systems that operate under strict epistemic constraints, moving beyond stochastic language prediction to support structured reasoning, propositional commitment, and contradiction detection. It formalises belief representation, metacognitive processes, and normative verification, integrating symbolic inference, knowledge graphs, and blockchain-based justification to ensure truth-preserving, auditably rational epistemic agents.

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