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  1. Jun 8, 2024 · Simply put, AI agents, also known as intelligent agents or autonomous AI, are systems that perceive their environment and take actions to maximise their chances of achieving their goals.

  2. Jun 27, 2024 · This concise article covers everything about agents in AI, how does an AI agent work, its functionalities, and various types of AI agents, such as reflex, goal-based, utility-based, and learning agents.

  3. Jun 14, 2024 · Key Components of AI Agent Architectures. 1. Perception and data inputs. 2. Knowledge representation. 3. Reasoning and decision-making. 4. Learning and adaptation (Self-Improving Agents) 5. Communication and interaction. How to Design and Implement AI Agents in Your Enterprise. Step 1: Identify Use Cases.

  4. Jun 27, 2024 · Learn about intelligent agents, entities that can perceive and act in their environment, and how they are categorized and measured. Explore examples of weak AI agents, such as thermostats, Roombas, and Alexa, and their rational behavior.

  5. Jun 17, 2024 · A rational agent in AI is an agent that performs actions to achieve the best possible outcome based on its perceptions and knowledge. It operates under the premise of rationality, where it consistently makes decisions that maximize its expected utility or performance measure.

  6. 4 days ago · AI Agents: A Spectrum of Intelligence and Autonomy. Manish Vohal. Director of Technology @ SEI | Generative AI, Project Management. Published Jul 2, 2024. + Follow. In the rapidly evolving...

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