Which term describes early AI systems that operate by reacting to inputs with limited functionality and do not use memory beyond brief experiences?

Which term describes early AI systems that operate by reacting to inputs with limited functionality and do not use memory beyond brief experiences?

• A. Unsupervised learning
• B. Reactive machines
• C. Self-aware AI
• D. GANs

Answer: (B)

This item examines the difference between AI that only reacts to present input and AI that uses past experiences or learning. Reactive machines fit the description: they operate based on the current input, follow a fixed set of rules to produce an action, and have no memory of previous interactions to inform future decisions. They don’t learn or adapt over time because there’s no stored experience to draw on. Unsupervised learning is about uncovering patterns in unlabeled data, not about responding to the present moment without memory. Self-aware AI is a hypothetical stage where the system has consciousness. GANs are a type of generative model used to create data, not a memoryless, purely reactive system.

This item examines the difference between AI that only reacts to present input and AI that uses past experiences or learning. Reactive machines fit the description: they operate based on the current input, follow a fixed set of rules to produce an action, and have no memory of previous interactions to inform future decisions. They don’t learn or adapt over time because there’s no stored experience to draw on. Unsupervised learning is about uncovering patterns in unlabeled data, not about responding to the present moment without memory. Self-aware AI is a hypothetical stage where the system has consciousness. GANs are a type of generative model used to create data, not a memoryless, purely reactive system.