5 Types of AI Agents: Autonomous Functions & Real-World Applications



Timestamps (Powered by Merlin AI)
00:08 - 2025 marks the rise of sophisticated AI agents with diverse functionalities.
01:30 - Precepts drive simple reflex agents' actions through sensor input and condition action rules.
02:48 - Model-based reflex agents enhance decision-making with an internal world model.
04:16 - Goal-based AI models enhance decision-making with future outcome predictions.
05:23 - Goal-based and utility-based AI agents optimize decision-making.
06:36 - Explains the utility-based and learning AI agents with real-world applications.
07:47 - AI agents improve decision-making through learning, action suggestion, and performance evaluation.
08:59 - AI agents evolve through utility-based evaluation and multi-agent cooperation.
 
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