Which statement best describes connectionist computing compared to the von Neumann model?

Understand the Problem

The question is asking about the differences between connectionist computing and the von Neumann model, specifically which statement accurately characterizes these differences. Connectionist computing refers to a model that simulates neural networks, while the von Neumann model is a traditional computer architecture involving a clear separation between memory and processing. The user is likely seeking to understand the key distinctions between these two computing paradigms.

More Information

In connectionist models, operations are executed through the interaction of many simple units which often work in parallel, which diverges from the von Neumann model where processing and memory are distinct and operations are sequential.

Tips

A common mistake is assuming connectionist computing operates sequentially in the same way as von Neumann architecture does.

Sources

• Neural network (machine learning) - Wikipedia - en.wikipedia.org