Code and data for Zhang, Lengersdorff et al. (2020)

A substrate-native digital consciousness engine where prediction errors about self-survival become causally efficacious qualia, driving closed-loop recursive self-evolution.

Code and data for Zhang & Gläscher (2020)

Various experiments related to AGI

A statistics package with a variety of bootstrap and other resampling tools

e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem

🚀Implementation of Logistic Regression and Linear Regression in Python for Classification Problems🏗

A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.

An R Package for quickly performing regressions over many groups and evaluating leave-one-out prediction error.

What if the AI agent guessed first? 251 experiments. The predicting agent adapted to a 5x compute shift on try one. The reflecting agent took 7. The searching agent never caught up.

we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.

Prediction-error optimization. The agent guesses before each experiment. Wrong predictions are the learning signal. One file, zero dependencies. pip install theorist

AHA as prediction error

Recursive research intelligence that gets smarter over time. Prediction-error learning, persistent brain, strategy evolution.