Learning Agents in AI
A learning agent, in artificial intelligence, refers to a software entity or system designed to autonomously interact with its environment, acquire knowledge from these interactions, and adapt its behaviour to improve performance over time. Unlike traditional AI systems, Learning agents can dynamically change their decision-making processes depending on experience rather than solely abide by previously determined laws or instructions.
Learning Agents in AI
Learning agents are a shining example of scientific advancement in the field of artificial intelligence. This innovative approach to problem-solving puts an end to the static nature of classical planning by rejecting the conclusions based on the trivial pursuit of perfect knowledge. This article discusses the core of learning agents, including their parts, functions, advantages, and practical uses, emphasizing their crucial impact on the future of AI.
Table of Content
- Learning Agents in AI
- Key Components of Learning Agents
- Learning Process in Learning Agents
- Applications of Learning Agent
- Conclusion
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