Self-Sustaining AI Agents are advanced artificial intelligence systems designed to operate autonomously without continuous human intervention. They can make decisions based on their environment and objectives, while also adhering to ethical guidelines.
The need for more autonomous and ethically sound AI systems in various applications such as robotics, cybersecurity, and smart cities.
These agents leverage reinforcement learning algorithms to learn from interactions with their environment, improving their decision-making over time. Ethical governance is ensured through the implementation of predefined ethical frameworks that guide the AI's actions.
Manufacturing processes involve developing robust reinforcement learning models and integrating them with ethical governance mechanisms. Physical components may include sensors, processors, and communication devices depending on the application.
The build process starts with defining the AI's objectives and ethical guidelines. This is followed by training the agent using large datasets and simulated environments to ensure it can make informed decisions. Finally, the agent undergoes real-world testing before deployment.
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