What is a simple reflex agent?

This is a podcast episode titled, What is a simple reflex agent?. The summary for this episode is: <p>This episode of <em>Techsplainers</em> explores simple reflex agents, the most basic type of AI agents that operate on straightforward "if-this-then-that" logic. We examine how these agents directly respond to their environment based on predefined rules, without considering past experiences or future consequences. The discussion covers real-world examples like thermostats, factory safety systems, and quality control monitors, highlighting the benefits of these agents: computational efficiency, instantaneous response times, predictable behavior, and cost-effectiveness. We also address their limitations, including lack of memory, inability to handle uncertainty, and inflexibility when facing new situations. Finally, we demonstrate how simple reflex agents can work effectively as part of multi-agent systems, providing critical safety backstops while more sophisticated agents handle complex decision-making.&nbsp;</p><p>&nbsp;</p><p>Find more information at <a href="https://www.ibm.com/think/podcasts/techsplainers" rel="noopener noreferrer" target="_blank">https://www.ibm.com/think/podcasts/techsplainers</a>&nbsp;</p><p>&nbsp;</p><p><strong>Narrated by Matt Finio&nbsp;</strong></p>