What kinds of models other than neural networks/traditional machine learning that train on large sets of data have people developed to try to mimic true intelligence?

I know generative AI is limited in capability, and is being attributed more use/potential than it really deserves. Heck, even neural networks have been indicated to not truly approximate what the human brain is doing. I am just wondering if anyone can point me to papers that discuss true AI development, and what direction those kinds of studies are going, what paths have been explored along that line.

brain capability data datascience generative human intelligence machine machine learning networks neural networks people traditional machine learning train true