MASTERMIND

MASTERMIND

MASTERMIND documentation on the blockchain

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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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production_transformer.py in 2026 — what the code actually is now

The 2024 article on production_transformer.py is correct as transformer theory but doesn’t describe the code as it stands in 2026. Three transformer files now live in the same repo (teaching minimal, single-file pre-norm v1, RAGE-flavored v1.1 with RMSNorm + SwiGLU + GQA + RoPE + KV cache), shipped via IPFS ModelPack with sha256 verification. Here is the operational ground truth.

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mindX: An Autonomous Multi-Agent System Writing Its Own Documentation

mindX: An Autonomous Multi-Agent System Writing Its Own Documentation

From RAGE retrieval to self-evolving cognition — an introduction to the system at mindx.pythai.net

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