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  # RFT Agent Simulation Engine MVP
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  This project implements a Minimal Viable Product (MVP) of an RFT (Relational Frame Theory) Agent Simulation Engine. It allows for simulating the dynamics of RFT agents, visualizing their behavior, and exporting their states.
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  - Plots for individual agent Phi, Tau Effective, and Fitness over time.
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  - Plots for System Coherence (average Phi) and System Stability (variance of Phi) over time.
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  - A downloadable JSON file containing the final states of all agents.
 
 
 
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+ ---
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+ title: RFT Agent Simulation Engine
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+ emoji: 🧪
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+ colorFrom: blue
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+ colorTo: purple
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+ sdk: gradio
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+ sdk_version: "4.0"
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+ python_version: "3.10"
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+ app_file: app.py
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+ pinned: false
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+ ---
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+
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  # RFT Agent Simulation Engine MVP
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  This project implements a Minimal Viable Product (MVP) of an RFT (Relational Frame Theory) Agent Simulation Engine. It allows for simulating the dynamics of RFT agents, visualizing their behavior, and exporting their states.
 
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  - Plots for individual agent Phi, Tau Effective, and Fitness over time.
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  - Plots for System Coherence (average Phi) and System Stability (variance of Phi) over time.
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  - A downloadable JSON file containing the final states of all agents.
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference