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@Insight137

Insight137

Quantum cognition research and behavioral prediction tools

Insight137

Behavioral intelligence powered by quantum cognition research

Website PyPI License


What we build

Insight137 develops behavioral analysis tools that apply the quantum-probability formalism from peer-reviewed quantum cognition research (Busemeyer & Bruza, 2012; Huang et al., 2019) to human decisions, AI agent behavior, and biometric signals. Whether the quantum routine out-predicts classical baselines is under pre-registered, out-of-sample test; we publish the result either way.

Open-source: insight137-eap

The Entropy-Aware Predictor library implements the mathematical foundations behind our platform:

  • Deng entropy (Deng, 2016)
  • Quantum-Like Bayesian Network interference (Huang et al., 2019)
  • Quantum total probability (Moreira & Wichert, 2016)
  • 211 tests passing — adversarial, property-based, performance, verification
  • 192,000 calls/sec for quantum_probability
pip install insight137-eap

Commercial platform

insight137.com provides AI-powered behavioral analysis with quantum cognition models. Free during open beta.


Research foundations

Work Authors Application
Quantum Cognition Busemeyer & Bruza (2012) Core prediction model
QLBN Interference Huang et al. (2019) Ψ₂/Ψ₃ entropy signatures
Deng Entropy Deng (2016) Information-state quantification
Quantum Total Probability Moreira & Wichert (2016) Multi-source decision analysis

Get in touch


Insight137 is a research-driven behavioral intelligence platform. We publish under CC BY-NC-ND for academic transparency.

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  1. insight137-eap insight137-eap Public

    Quantum cognition library — Deng entropy, QLBN interference, Born-rule probability. Validated against Huang et al. (2019), 211 tests.

    Python 1

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