Foundations of Artificial Intelligence

This section explores early ideas that shaped artificial intelligence, focusing on how human cognition was first understood as a computational process.


Alan Turing and Machine Intelligence

Alan Turing expanded these ideas by proposing that machines could imitate human reasoning through algorithmic processes. In Computing Machinery and Intelligence, he introduced the Turing Test, which evaluates machine intelligence based on behavior rather than internal consciousness.

Turing suggested that digital computers could learn from experience, laying the foundation for future research into machine learning and artificial intelligence.

For historical examples of early AI systems, see

Historical Case Studies in AI

“The reader must accept it as a fact that digital computers can be constructed… and that they can mimic the actions of a human computer very closely.”

Alan Turing (1950)

Computational Theory of Mind

McCulloch and Pitts introduced one of the earliest connections between psychology, neuroscience, and computation. Their work proposed that the human mind functions as an information-processing system, where cognition and consciousness can be understood as computational operations.

McCulloch (right) and Pitts (left), 1949. Image source: Semantic Scholar, via HistoryofInformation.com.

These early theories established the foundation for understanding intelligence as a computational process. Later cognitive and psychological theories would further influence how artificial intelligence systems are designed and evaluated.