Most of the AI lectures I took at school were professors who have been chasing the dream of “strong AI” for many years, and finally realized that if they could barely understand how the human brain and the functions of the mind (and theories behind these functions sometimes changing almost daily), how can they ever hope to imitate this artificially? Most of them came to terms with AI in niches where this problem is more clearly defined: first-time walkthrough, application of SAT-solution, image processing, chess awards, conversation, etc ... but they gave on the true, general purpose of the “thinking machine” "
My advice would be to study a specific problem: you are interested (for example, finding paths, SAT-solver applications, such as diagnostic systems, etc.), and see what AI approaches were taken to solve them, Perhaps the problem that you interests, does not have much in terms of solutions for AI. In this case, you can start work on a new one!;)
... But you probably have to narrow it down to a certain class of problems if you do not want to be overwhelmed - at least at first.
FrustratedWithFormsDesigner
source share