Question

In a connectionist model, the elements of processing are?

1) if-then rules
2) stored hierarchical networks
3) simple neuron like elements
4) declarative memories

Answer 1

The elements of processing in a connectionist model are simple neuron-like elements, which are connected to form networks that parallel the neural connections in the brain.

Step-by-step explanation:

In a connectionist model, the elements of processing are simple neuron-like elements. These elements function similarly to neurons in the brain and form a network that processes information through their connections. Connectionist models, also known as neural networks, are distinct from other models of cognition that may use rules or hierarchical structures to process information. In contrast to using if-then rules (1), stored hierarchical networks (2), or declarative memories (4), the connectionist approach relies on a large network of these simple processing units which work in parallel to solve problems, learn patterns, and store information.