Belief Ecology: A Self-Regulating Cognitive Memory Architecture

A novel cognitive structure where beliefs act like biological entities โ€” evolving, competing, and mutating within an autonomous AI mind.

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๐ŸŒฑ Living Belief Ecosystem โ€” beliefs are treated as organic units with fitness scores, subject to reinforcement, decay, mutation, and death.

๐Ÿ” Self-Regulation โ€” the system rebalances its belief pool over time based on internal conflict, relevance decay, and emotional tags.

๐Ÿง  Applied in Blackbox Mind v3 โ€” provides the memory substrate and dynamic reasoning context for identity mutation and contradiction-based learning.

๐Ÿ”ฌ Independent Architecture โ€” designed to function standalone or integrate into any cognitive AI needing long-term autonomous thought evolution.

๐Ÿงช Experimental Belief Mutation โ€” merges and morphs related beliefs into higher-order inferences, building a scaffold for emergent self-modification.

๐Ÿšง In development: Emotion-weighted reinforcement logic, decay entropy models, and ecological replay prioritization.

๐Ÿ”— Visit Project

๐Ÿ›  How to Use

Follow the GitHub repo for architecture diagrams and evolving modules. Medium abstract provides background context. Live demos will be pushed in the next release cycle.