Key Characteristics of AI Agents

1. Autonomy: Operate independently without constant human intervention.
2. Perception: Sense or interpret inputs from their environment (e.g., through sensors, cameras, or APIs).
3. Reasoning: Use AI to analyse data, predict outcomes, and make decisions.
4. Action: Take actions or provide outputs based on their reasoning, such as controlling a robot, generating text, or interacting with users.
5. Learning: Adapt and improve performance over time through feedback or new data.

Types of AI Agents

1. Reactive Agents:
   Respond to stimuli without maintaining internal states or history.
   Example: Chatbots answering simple FAQs.
2. Proactive/Deliberative Agents:
   Use planning and reasoning to achieve goals.
   Example: Autonomous vehicles planning optimal routes
3. Interactive Agents:
   Engage in communication and collaboration with humans or other agents.
   Example: Virtual assistants like Alexa or Siri.
4. Hybrid Agents:
   Combine reactive and deliberative capabilities for more complex tasks.
   Example: AI systems for game playing or multi-tasking robots.

Application of AI Agents

• Sales Agent: Automate lead engagement and demo booking with a 24/7 AI Sales Agent that never misses a prospect.
• Customer Support: Chatbots and virtual agents for help desks.
• Finance: Algorithmic trading agents or fraud detection.

AI agents are widely used across industries and continue to evolve, becoming more intelligent, adaptable, and capable of handling complex tasks.

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