Autonomous AI Agents

In AI, an autonomous agent is a system that can make independent decisions and take actions without human intervention based on its environment and goals, using sensors, data processing, and learning algorithms.

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AI (Artificial Intelligence) is the simulation of human intelligence in machines that can perform tasks like learning, reasoning, and problem-solving. The evolution of AI has progressed from rule-based systems to machine learning, deep learning, and, more recently, large language models and advanced neural networks, enabling more sophisticated autonomous applications.

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Autonomous artificial intelligence refers to AI systems capable of self-management, decision-making, and problem-solving without human input. These systems can learn from their environment, adapt to changes, and perform real-time navigation or automation tasks.

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AED (Attractor Entropy Dimension) in fractals is a measure used to quantify the complexity of fractal structures by analyzing the fractal's attractor in phase space. It helps understand the chaotic behavior and the dimensionality of the fractal's dynamics, which is not directly related to autonomous AI agents.

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