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Author: Michael Landbo
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Developer: Michael Landbo
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Created: 2024/06/20
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On Github : GitHub Profile -
On LinkedIn: LinkedIn Profile -
On the interwebs: L4ndbo Software Development
Presenting: The "Life Simulation by 
- Using a lot of development time, planning, swearing, crying, screaming, and everything that a man with a plan encounters.
- Designing the codebase for smooth operations,
- natively supporting all future code implementations, and code/lib upgrades that enable scaling of the project without rewriting everything.
- A hell lot of classes, functions, cheat code (ssssh..) to control every aspect of the sim and the autonomous, AI-driven agents in partnership with other autonomous agents, this simulation explores the evolution of life by exploring each agent's interactions with one another.
As the simulation features various types of atoms, each with unique properties and behaviors, the simulation allows for intricate and dynamic interactions between the atoms and the surrounding environment. It is the goal of this project to provide users with an engaging, fun, and scientifically intriguing experience that will facilitate their learning of the mechanics of life itself in a fun and exciting way. The project encompasses the dynamic simulation of life-like behaviors and interactions among autonomous AI agents. It serves as a visual and interactive representation of atoms' evolution and interactions within a controlled environment. The simulation integrates various features, including AI-driven behaviors, mutation and evolution, collision detection, gravity, and physics, as well as user interaction through zooming, panning, and time control.
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🔧 Customizable Atom Properties: Each atom has customizable properties such as mass, charge, size, and color.
- Define your classes to represent an existing atom or a new atom species with customizable properties such as mass, charge, hunger, mutations, wander, color, size, and much more.
- Methods for updating position and velocity based on applied forces.
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🔄 Multiple Atom Types: Different types of atoms (e.g., Red and Yellow) with distinct behaviors and interactions.
- Introduced additional types of atoms with different behaviors and interactions.
- 🤖 AI-Driven Agents: Autonomous agents that interact with the environment and other atoms based on predefined behaviors.
- Introduced AI-driven agents or creatures.
- Atoms decide their behavior autonomously based on their health, hunger, and the presence of other atoms.
- Atoms can find the nearest atom and decide to chase it if it's weaker or wander around if there is no suitable target
- Collision Detection and Reactions: Added collision detection to handle interactions when atoms come into contact.
- Atoms can collide, bounce off each other, merge into new types of atoms, flee, and display flock behavior.
- Life Simulation: Atoms can evolve into more complex structures or organisms based on certain rules.
- Developed a life simulation where atoms can evolve into more complex structures or organisms based on certain rules.
- Introduced random mutations to attributes of atoms during reproduction.
- Reproduction and Mutation: Atoms can reproduce and introduce random mutations to their offspring, leading to evolution.
- Introduced random mutations to attributes of atoms (e.g., size, speed, color) during reproduction.
- Applied selection pressures such as food scarcity or predation influence which atoms survive and reproduce.
- Combined traits from both parent atoms to create more diverse offspring.
- Introduced new structures to the simulation that can evolve based on the current state of the atoms.
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🌍 Realistic Physics:
- Incorporation of gravity and Coulomb forces for accurate and engaging interactions.
- Implemented forces between everything and based it all on their properties.
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🌡️ Energy and Heat Maps: Visualization of energy levels and energy transfer between atoms.
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🌈 Color Gradients: Atoms' colors change based on their energy level.
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✨ Motion Trails and Blur:
- Atoms leave trails to visualize their path over time.
- Added motion trails, and/or blur effects to visualize the path of atoms and other real math equations
- Atoms leave trails to visualize their path over time.
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🖼️ Graphical Improvements: Enhanced graphical rendering with smooth visual effects and dynamic visuals.
- Realistic Physics
+++ AND MUCH MORE
- 🛠️ User-Defined Rules: GUI for users to define their own rules for atom interactions and behaviors.
- 🧱 Interactive Environment: Users can place obstacles, barriers, or sources of attraction/repulsion.
- ⏱️ Time Control: Controls for pausing, fast-forwarding, and slowing down the simulation.
- 🔍 Zoom and Pan: Users can zoom in and out and pan across the simulation to explore different areas in detail.
- 💾 Save and Load Simulations: Functionality to save and load simulations, allowing users to continue from where they left off.
Note
GUI IS NOT YET IMPLEMENTED, BUT VARIABLES FOR CONTROLLING THE VALUES ARE IMPLEMENTED
- Ensure you have Python installed on your system.
- Install the required libraries using:
pip install pygame numpy. - Run the simulation script using:
python L4ndbo_life_sim_v6.py.
- P: Pause / Unpause time.
- F: Fast-forward time.
- S: Slow-down time.
- L: Load simulation state.
- V: Save simulation state.
- Scroll Up: Zoom in.
- Scroll Down: Zoom out.
- Right Click + Drag: Pan the view.
- Left Click: Select an atom to view detailed stats.
The "Life Simulation by
- Pygame community for the support and resources.
- Inspiration from various scientific simulations and educational tools.
I hope this project inspires and educates others, offering a platform for further exploration and development in the field of life simulations. This simulation aims to foster a deeper understanding of complex life systems and provide a unique way to learn the basics of computer simulation. If you build on this project, please share your work with me – I'd love to see how it evolves and collaborate on future ideas. Let's work together to push the boundaries of what we can achieve!
- User-Defined Rules: Implement a GUI for users to customize interaction rules, allowing for a more tailored and interactive simulation experience.
- Advanced AI-Driven Agents: Introduce more sophisticated AI entities that can adapt, learn, and evolve based on their environment and interactions.
- Multiplayer Mode: Enable collaborative interactions and shared simulations, allowing multiple users to join the same simulation and interact in real time.
- Community Challenges: Create community challenges where users can compete or collaborate to achieve specific goals within the simulation.
- Educational Mode: Develop a guided mode with explanations of scientific principles, step-by-step tutorials, and interactive experiments to enhance learning.
- Statistical Analysis Tools: Provide advanced tools for users to analyze the simulation's data, including charts, graphs, and detailed reports on atom behaviors and interactions.
- Scientific Journals Integration: Allow users to publish their findings and simulations in a community journal, fostering a collaborative scientific community.
- Sound Effects and Music: Add dynamic sound effects and background music to enhance the immersive experience of the simulation.
- Narrative Voiceovers: Implement voiceovers that narrate significant events or milestones within the simulation.
- Challenges and Objectives: Introduce challenges, objectives, or puzzles for users to solve using the simulation, such as achieving a certain population size or evolving a specific trait.
- Achievement System: Implement an achievement system to reward users for reaching milestones or completing specific tasks.
- Scenario Mode: Create predefined scenarios with specific starting conditions and objectives to guide users through various aspects of the simulation.
- Dynamic Weather and Climate: Add dynamic weather temperatures and climate conditions that affect atom behaviors and interactions.
- Ecosystem Simulation: Develop complex ecosystems with different species of atoms, each with their roles and interactions within the environment for better stabilize the world and environment
- Resource Management: Introduce resources that atoms need to gather, store, and utilize, adding a layer of strategy and survival.
- Genetic Algorithms: Implement genetic algorithms to simulate natural selection and evolution more accurately.
- Disease and Mutation Simulation: Add diseases and mutations that can affect atom populations, leading to new evolutionary pressures and adaptations.
- Complex Organisms: Allow atoms to evolve into multi-cellular organisms with specialized functions and more intricate behaviors.
- Optimized Performance: Enhance the simulation's performance to handle larger populations and more complex interactions without lag, like adding complete GPU support with full CUDA support
- Cross-Platform Compatibility: Ensure the simulation runs smoothly on various platforms, including mobile devices and web browsers.
- Modular Architecture: Design the codebase to be easily extensible, allowing developers to add new features and functionalities with minimal effort.
- Enhanced UI/UX: Improve the user interface and experience to make the simulation more intuitive and user-friendly.
- Customizable UI: Allow users to customize the simulation's interface, including themes, layouts, and display settings.
- Interactive Tutorials: Develop interactive tutorials that guide users through the simulation's features and mechanics.
- Multi-Language: Add support for adding more languages to the simulation (Rewriting most of the code to support local/location detection by the system lang/locale settings
- Augmented Reality (AR) Features: Use AR to include some data to overlay the simulation onto the real world, enhancing the educational experience.
- Real-Time Collaboration: Enable real-time collaboration features where multiple users can work on the same simulation from different locations.
- Historical Simulations: Create historical simulations that replicate significant events in the history of life and evolution.
By exploring these potential improvements and implementations,
the Life Simulation by