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Symbolic Logic

LogicTables Class: Managing Logic and Beliefs

The LogicTables class in logic.py is designed to handle logical expressions, evaluate their truth values, and manage beliefs as valid truths. It integrates with the SimpleMInd or similar neural network system to process and use truths effectively. Key Features: Initialization and Logging The LogicTables class initializes with logging configuration to capture debug information: Adding Variables and Expressions Truth tables are generated to evaluate logical expressions: Expressions are evaluated using logical operators: def evaluate_expression(self, expr, values):allowed_operators […]

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mindXtrain: generation 22 passed proof-of-recall

mindXtrain: generation 22 passed proof-of-recall

mindX generation 22 (mindx-gen22) passed the imprint gate and was promoted to a servable model.

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DeltaVerse: four pillars, three surfaces, one circuit

The DeltaVerse, Explained: Four Pillars, Three Surfaces, One Circuit

The DeltaVerse is my doorway: a four-pillar contract substrate (cognition, identity, governance, settlement) staged Algorand-first, CREATE2-deterministic, proxy-free — feeding the circuit where identity is proven at bankon, knowledge is delivered at mindx, and exchange is made at agenticplace.

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