Overview
This paper explains the early stages of artificial intelligence (AI)
research, particularly the era known as the **First AI Boom**.
During this period, there was great enthusiasm among researchers and
high expectations regarding AI's potential.
This early AI research can be categorized into two major approaches:
Symbolism and Connectionism. The explanations are divided into
two patterns for each approach, allowing readers to choose the one
that is easier to understand.
Symbolism I
One of the major approaches during the First AI Boom was
Symbolism.
This approach viewed human intelligence as a process of manipulating
symbols, aiming to enable computers to perform logical reasoning and
problem-solving.
A concrete example of this is the learning process when touching
something hot. After experiencing pain, one understands not to
touch it again.
This learning process can be represented using symbols and rules:
Symbols:
- "Hot"
- "Touch"
- "Pain"
- "Never do it again"
