Types of Intelligent Agents
In general, intelligent agents fall into various categories:
- Simple Reflex Agents: React directly to their surroundings because they follow a condition-action rule.
- Model-Based Reflex Agents: Possess an internal model that enables them to keep a state to manage partially visible surroundings.
- Goal-Based Agents: These agents make decisions about their next course of action and its implications while acting to accomplish their goals.
- Utility-Based Agents: These agents outperform goal-based agents by maximizing a utility function, a gauge of their level of enjoyment.
- Learning agents are extremely adaptive to new contexts because they may draw lessons from their past experiences and apply those lessons to inform their future judgements.
Applications of Intelligent Agents in AI
In the rapidly developing field of artificial intelligence (AI), intelligent agents are essential for streamlining decision-making procedures, increasing productivity, and simulating human thought processes across a range of areas. These agents are essential to many applications, from basic email filter software to sophisticated robotic systems that go to distant planets. Their ability to sense their surroundings and take measures to increase their chances of success defines them.
Table of Content
- Intelligent Agent
- Types of Intelligent Agents
- Applications of Intelligent Agents in AI
- Conclusion
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