GOFAI and connectionism

Question 1

GOFAI

Answer 1

Although computers rapidly became faster, smaller, and more flexible, initial attempts to create AI depended on a human programmer writing programs that told the machine what to do using algorithms that processed information according to explicitly encoded rules. This is now referred to – usually by its critics – as GOFAI

Question 2

Connectionism

Answer 2

biologically inspired  neurons are strongly interconnected as a network. If a number of connections are lost, this does not necessarily have to be a problem. Principles: Materialism says mental states are the same as physical states. Basically, just the activation of neurons that we have. Memory is the connection between those neurons. You can learn things by adjusting the strength of connections between neurons

Question 3

Weak vs. strong AI

Answer 3

Weak AI proponents think computers can simulate intelligence and mind, strong AI proponents believe rightly programmed machines will have a mind just as humans do

Question 4

Connectionist AI

Answer 4

Biologically inspired: neurons are strongly interconnected as a network. If a number of connections are lost, this does not necessarily have to be a problem. Principles: Materialism says mental states are the same as physical states. Basically, just the activation of neurons that we have. Memory is the connection between those neurons. You can learn things by adjusting the strength of connections between neurons