2.4 Reactive Machines

Reactive machines respond to what's in front of them right now. No memory, no learning from the past.

Chapter 2: Types of Artificial Intelligence

Besides "how smart" (narrow/general/super), AI can also be sorted by how it works with memory. The simplest type is the reactive machine.

It looks at the current situation and reacts. That's it. It doesn't remember what happened five minutes ago. The classic example is IBM's Deep Blue, which beat chess world champion Garry Kasparov in 1997 by analysing the board in front of it.

Reactive machines are predictable and reliable, which is great - but they can't adapt or improve from experience.

Key takeaways

Reacts to the present moment only

No memory, no learning from experience

Example: Deep Blue chess computer

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1.1 What Is Artificial Intelligence (AI)?
1.2 Definition and Meaning of AI
1.3 History and Evolution of AI
1.4 Goals and Objectives of AI
1.5 Importance of AI in Today's World
1.6 Real-World Applications of AI
1.7 Advantages and Limitations of AI
2.1 Narrow AI (Weak AI)
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8.3 Data Collection and Preparation
8.4 Introduction to Algorithms
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9.1 Introduction to Python for AI
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