Articles. Ai agents

#AIagents are autonomous systems that perceive their environment, make decisions, and take actions to achieve specific goals.
Here are the key points:
Autonomy: AI agents operate independently, making decisions without constant human intervention based on their programming and goals.
Perception: They use sensors or data inputs (e.g., cameras, text, or web data) to gather information about their environment.
Decision-Making: AI agents process inputs using algorithms, often leveraging machine learning, to choose actions that align with their objectives.
Action: They interact with their environment through outputs like text, commands, or physical movements to accomplish tasks.
Types of AI Agents:
Reactive Agents: Respond to immediate stimuli without memory (e.g., simple chatbots).
Deliberative Agents: Use internal models and planning to make decisions (e.g., game-playing AI).
Learning Agents: Improve performance over time through experience (e.g., reinforcement learning models).
Multi-Agent Systems: Collaborate or compete with other agents to achieve goals.
#genAi #Grok3 #X #xAI