Questions tagged [symbolic-ai]

For questions related to symbolic artificial intelligence, which is also known as good old-fashioned artificial intelligence (GOFAI), which is an expression coined by John Haugeland in his 1985 book "Artificial Intelligence: The Very Idea".

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9
votes
1answer
422 views

What kind of body (if any) does intelligence require?

In the mid 1980s, Rodney Brooks famously created the foundations of "the new AI". The central claim was that the symbolist approach of 'Good Old Fashioned AI' (GOFAI) had failed by attempting to '...
3
votes
1answer
303 views

In what ways can connectionist AI be integrated with GOFAI?

In what ways can connectionist artificial intelligence (neural networks) be integrated with Good Old-Fashioned A.I. (GOFAI)? For instance, how could deep neural networks be integrated with knowledge ...
7
votes
3answers
339 views

What kinds of problems can AI solve without using a deep neural network?

A lot of questions on this site seem to be asking "can I use X to solve Y?", where X is usually a deep neural network, and Y is often something already addressed by other areas of AI that ...
5
votes
1answer
4k views

What are some examples of Classical AI applications?

I believe that Classical AI uses deductive thought processes. For example, given as a set of constraints, deduce a conclusion. What are some examples of successfully applying Classical AI to real-...
7
votes
2answers
901 views

Is anybody still researching GOFAI?

A lot of textbooks and introductory lectures typically split AI into connectionism and GOFAI (Good Old Fashioned AI). From a purely technical perspective, it seems that connectionism has grown into ...
4
votes
3answers
209 views

Shouldn't Gödel's incompleteness theorems disprove the physical symbol system hypothesis?

According to the Wikipedia page of the physical symbol system hypothesis (PSSH), this hypothesis seems to be a vividly debated topic in philosophy of AI. But, since it's about formal systems, shouldn'...
1
vote
1answer
45 views

Are the capabilities of connectionist AI and symbolic AI the same?

The universal approximation theorem says that MLP with a single hidden layer and enough number of neurons can able to approximate any bounded continuous function. You can validate it from the ...
0
votes
0answers
18 views

Approach for model architecture and output type for decision making problem

I have a problem where based on some textual rules and images, the model has to decide what action to take. Like, if there are 5 possible selections then which object to select based on image and ...