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Semantic Differentiation of the Mind: A 3 Channel, Quantum Data Architecture
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# Quantum Psychothotonix Quantum Psychothotonix is a Python-based project exploring the parallels between quantum mechanics and human cognition. It investigates how concepts from quantum mechanics, such as superposition and entanglement, can be applied to model and understand the dynamics of human behavior, emotions, and decision-making processes. ## Table of Contents - [Introduction](#introduction) - [Features](#features) - [Installation](#installation) - [Usage](#usage) - [License](#license) ## Introduction Quantum Psychothotonix aims to bridge the gap between quantum mechanics and cognitive science by drawing parallels between the two domains. By leveraging concepts from quantum mechanics, such as superposition, entanglement, and probability amplitudes, the project seeks to develop a deeper understanding of human cognition and behavior. It explores the idea that human consciousness and decision-making processes may exhibit quantum-like behavior under certain conditions, leading to novel insights and perspectives in cognitive science. ## Features -A learning tool to explore the following concepts: - **Real and Imaginary Component Recording**: Capture the observable behavior, emotions, and decisions (BED) of individuals at a given time \( t \) as the real component and infer the probabilistic dynamics or latent cognitive processes as the imaginary component recording the results to a coherent photon using a slow light laser. - **Analysis of Cognitive Dynamics**: Analyze the recorded real and imaginary components to uncover patterns, correlations, and trends in human cognition. Explore the interplay between observable behaviors and underlying probabilistic influences to gain insights into the complexities of decision-making processes. - **Visualization and Interpretation**: Visualize the results of the analysis to facilitate interpretation and understanding. Generate plots, graphs, and visualizations to illustrate the dynamics of human cognition and highlight key findings. ## Installation To install Quantum Psychothotonix, follow these steps: 1. Clone the GitHub repository: ```bash git clone https://github.com/marcusc/quantum.git Navigate to the project directory: cd quantum Install the required dependencies: pip install -r requirements.txt ## Usage To use Quantum Psychothotonix, follow these steps: Run the main Python script: photon.py Use the provided interface to simulate recording the real and imaginary components of individuals' behavior, emotions, and decision data at various time points recording it as a photon. ##License This software is licensed under the MIT License. See the LICENSE file for details.
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