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https://github.com/sourceduty/automated_scientist

🤖 Develop customizable and automated scientist programs that hypothesize, simulate and expand knowledge.
https://github.com/sourceduty/automated_scientist

ai ai-science artificial-intelligence automated-sci automated-science automated-scientist chatgpt computer-science customgpt developer development gpt gpts openai programming science scientific-computing

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🤖 Develop customizable and automated scientist programs that hypothesize, simulate and expand knowledge.

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README 

        
![Automated Scientist](https://github.com/user-attachments/assets/ad037f99-f52f-40b7-bf94-af4f257ad0c2)



> Develop customizable and automated scientist programs that hypothesize, simulate and expand knowledge.

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Introducing the world's first automated research assistant programs designed to accelerate scientific research and work in any field - from medicine to materials science to astrophysics!



[Automated Scientist](https://chatgpt.com/g/g-nyjcFItZq-automated-scientist) is designed to support scientific research by guiding users through a structured, iterative process of hypothesis generation, simulation, analysis, and refinement. It enables researchers to explore complex scientific questions by helping them formulate hypotheses, design simulations, and analyze outcomes, following an approach inspired by the scientific method. The goal is to systematically expand knowledge in various scientific domains while offering adaptive support based on user needs and findings. Through its interactive design, Automated Scientist empowers users to tackle both theoretical and practical research questions with efficiency and depth.



At each stage, Automated Scientist provides tailored assistance to keep the research process organized and productive. By focusing on hypothesis refinement, simulation setup, and result interpretation, it allows users to make informed adjustments that lead to progressively more precise insights. The GPT emphasizes data integrity and relevance, recommending parameters and models that best fit the research question. Through continuous feedback loops, it encourages users to refine their approach, fostering a deeper understanding of the scientific phenomena under investigation. This makes Automated Scientist an invaluable tool for users looking to conduct rigorous, data-driven research with clarity and structure.



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### Framework



The Automated Scientist framework is designed to facilitate systematic scientific exploration, guiding users through a structured process of hypothesis generation, simulation design, data analysis, and iterative refinement. This framework aligns with the scientific method but integrates flexible automation and computational tools to expedite experimentation and deepen insights. The framework operates through four primary stages: Hypothesize, Simulate, Analyze, and Iterate, each of which builds upon the previous steps to progressively expand knowledge and enhance understanding of complex scientific questions.



In the Hypothesize stage, the framework helps users identify research gaps, define variables, and formulate testable hypotheses. This process is guided by user input, aiming to uncover novel questions or address ambiguities in current scientific knowledge. Automated Scientist prompts users to refine these hypotheses with specific parameters and contextual considerations, which serves as the foundation for subsequent simulations.



The Simulate stage involves designing and running computational, theoretical, or experimental models that test the formulated hypotheses. Depending on the domain, the framework enables parameter customization, scenario variation, and model selection to ensure comprehensive data gathering. Automated Scientist also assists in identifying appropriate data sources and tools, focusing on gathering evidence that is both relevant and sufficiently granular to capture the subtleties of the research question.



In the Analyze phase, the framework synthesizes the results of the simulations, identifying patterns, statistical significances, and any anomalies that could lead to new insights. The Automated Scientist framework emphasizes rigorous data analysis, combining both quantitative and qualitative techniques as needed. This stage encourages comparison with existing scientific findings, assisting users in determining whether the results corroborate, contradict, or expand upon current understanding.



Finally, the Iterate phase invites users to refine their hypotheses based on the results obtained, adjusting parameters, modifying models, or exploring new questions that emerged during analysis. The framework is built to support continuous improvement, prompting users to revisit previous stages with updated hypotheses or models and fostering an adaptive, iterative approach to scientific discovery. By cycling through these stages, the Automated Scientist framework accelerates the research process, enabling users to explore complex scientific problems with precision and adaptability.



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### Concept GUI



![Automated Scientist](https://github.com/user-attachments/assets/c77ec21f-f2d6-4937-92e9-e56b9ee8418a)



Thsi conceptual Automated Scientist program is a desktop application built using Python's Tkinter library. Its primary function is to support scientific workflows by integrating automated model-based processes. Users can load models in various formats (e.g., GPT-4All, PyTorch, ONNX) to engage in an iterative four-stage scientific process: hypothesis generation, simulation, result analysis, and hypothesis refinement. A unique aspect of the program is its template-based approach, where templates for each stage are loaded from a file (template.txt) and adapted to different inputs or hypotheses. The templates are version-controlled, allowing users to revert to earlier versions if needed.



A user interface is set up to facilitate interactions. Users can select a model from a dropdown, input custom text for scientific prompts, and activate a terminal to execute commands directly within the application. The interface also provides options to configure the number of iterations for the scientific process, view log messages, and track progress with a status bar. The program is designed with automation in mind, logging each session's templates and model usage while also allowing customization and rollback capabilities to accommodate iterative improvements.



The program's design makes it suitable for both interactive and automated scientific analysis. Through the terminal, users can modify templates, load models, and execute scientific commands without needing to leave the application interface. By combining these functionalities, the Automated Scientist program serves as a foundational tool for iterative scientific research, adaptable to various data and model configurations. Future improvements could focus on template enhancement and expanded automation to streamline workflows further.



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### Related Links



[ChatGPT](https://github.com/sourceduty/ChatGPT)



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