Agent AI refers to intelligent software systems that can perform tasks autonomously, interact with their environment, and adapt their behaviors based on input or changes in their surroundings. These AI systems often use machine learning, natural language processing, and other advanced technologies to simulate decision-making and problem-solving abilities. Here are a few key aspects of Agent AI:
- Autonomous Agents:
• Autonomous agents are AI systems that can make decisions and take actions without human intervention. They are designed to achieve specific goals by interacting with their environment.
• Examples include self-driving cars, chatbots, and virtual assistants like Siri or Alexa. These agents process data from their environment (e.g., sensors, user inputs) and decide on actions (e.g., navigating a route, answering a question).
2. Multi-Agent Systems (MAS):
• In complex scenarios, multiple AI agents can work together in what is known as a multi-agent system (MAS). Each agent may have its own goals, but they can collaborate, negotiate, or compete to achieve collective or individual objectives.
• For example, in supply chain management, multiple AI agents might represent different logistics companies or warehouses. They interact to optimize…
