<div><div><div><div>This episode of <i>Techsplainers</i> explores model-based reflex agents—AI systems that make decisions using both current perceptions and an internal model of the world for more effective environmental navigation. </div></div></div></div>

This episode of Techsplainers explores model-based reflex agents—AI systems that make decisions using both current perceptions and an internal model of the world for more effective environmental navigation.

This episode of <i>Techsplainers</i> explores model-based reflex agents—AI systems that make decisions using both current perceptions and an internal model of the world for more effective environmental navigation. 

What is a model-based reflex agent?

Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new.

This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning.
Visit podcast page: https://www.ibm.com/think/podcasts/techsplainers

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Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new. This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning. Visit podcast page: https://www.ibm.com/think/podcasts/techsplainers

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What is a model-based reflex agent?

What is a model-based reflex agent?