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Updated: Jan 21, 2022

Reactive Machines are the oldest and most basic form of Artificial Intelligence (AI) systems. These machines are extremely limited. They cannot create memories or use past experiences to shape current decisions, meaning these systems cannot ‘learn’ and they won't improve over time with practice.

They have zero concept of the past. They exist in the ultimate present moment, only reacting to the world as it is in that precise moment, rather than any internally created perception of the world.

Spam filters and the Netflix recommendation engine are everyday examples of Reactive Machines. Other notable examples include IBM’s chess-playing supercomputer, Deep Blue, and Google’s game playing AlphaGo. Though they are highly effective and can beat human master game players, these skills cannot be applied elsewhere. They are confined to the specific tasks they are programmed to do and are easily fooled.

Reactive Machines are unable to interact with the world, they lack imagination and will respond in the exact same way every time they are presented with the same situation. These systems are perfect for technologies such as self-driving vehicles since they are extremely reliable and trustworthy!

Stay tuned to our blog to learn about the other three types of AI!

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Let's Diskuss
Let's Diskuss

Thank you for sharing this actionable strategy. You can also read some interesting blog on future scope of artificial intelligence and machine learning in India..

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