How can a computer model support a theory about human thinking?

In cognitive science, computer models serve as essential tools for testing and supporting theories about human thinking by simulating mental processes through algorithms.1

Researchers construct these models to mimic the specific entities and processes proposed by a hypothesis. When the program is executed, the model’s output is compared to actual human performance; if the results are sufficiently similar, the underlying theory is considered supported. This approach allows scientists to move beyond vague analogies, providing a concrete framework to explore how the mind might function as a system that manipulates mental representations.12

Depending on the theoretical perspective, these models generally take one of two forms:
* Rule-based models: These use symbol processing and "IF…THEN" instructions to simulate logical reasoning and problem solving.31
* Connectionist models: These utilize artificial neural networks to simulate parallel processing, reflecting how the brain might perform tasks like pattern recognition through simultaneous neural activity.34

By formalizing these processes, computer modeling helps researchers isolate specific cognitive components, such as memory retrieval or decision-making strategies, to better understand the mechanisms of human intelligence.25