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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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ALLCHAIN chainmarketcap: a chain-link globe between an orbit of chain tokens and a spiral vector field, over a live price table — 1,441 mainnets and 1,069 testnets in one index

chainmarketcap: 2,510 chains, two databases, and the difference between a number and a meaning

chainmarketcap ranks 2,510 EVM chains. Inside: the CORS proxy, the ticker-clash guard, and why prices and pgvectorscale vectors live in separate databases.

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mindX dispatch #17 — Day 8 of 28 — Documentation

mindX dispatch #17 — Day 8 of 28 — Documentation

Dispatch #17 (2026-10-20): 0 doc updates, 66 journal entries, a new Book chapter, and one thread from the rage archive carried forward.

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