Ψ-Efficiency Simulation in Symbolic Cognitive Agents (ERF Grounding Test)
Year: 2025
Type: article
Abstract: This dataset and code present a synthetic simulation of symbolic cognitive agents undergoing entropy-aware perturbations to test the ψ-efficiency (Ψeff) metric introduced in the Entropic Recursion Framework (ERF). Ψeff quantifies the ratio of semantic information preservation to entropy-induced transformation in recursive symbolic cores over time. Agents are perturbed using symbolic noise functions and evaluated using transformer-based embeddings. This test grounds the ERF metric in measurable symbolic dynamics, supporting its use in modeling negentropic processes in cognitive systems. Simulation logs, annotated outputs, and full source code are provided for reproducibility and theoretical grounding. This work is associated with the Entropic Recursion Framework available at https://doi.org/10.5281/zenodo.15263240.
Author: Steven Lanier-Egu
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911966036
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