Paper Title: Project Deluded: Quantifying Cognitive Distortions in Recursive Neural Architectures (v0.1) 1. Abstract
A mechanism that discards "contradictory" data points to maintain internal consistency. Deluded_v0.1_default.zip
provides a baseline for understanding how software can "deceive" itself. Future iterations (v0.2 and beyond) will focus on "Intervention Protocols"—methods to break these self-reinforcing loops and restore objective processing. Suggested Tags / Keywords: Deluded_v0.1_default.zip
A metric that artificially inflates the model's certainty in its distorted outputs. 4. Preliminary Results Deluded_v0.1_default.zip
A recursive loop that prioritizes internal model weights over new sensory input.
The v0.1 release focuses on the . We utilize three primary modules: