10-14-2024, 09:00 AM
I'm not fully sure what your approach is, and we have many discussions on traditional ANNs and how I believe they work.
From what I understand it may a bit different from traditional AI (which generallly uses an ANN to that is trained to a specific task, that can equally be trained for any number of other tasks - the ANN is generic and the training is specific to a task). I think what you are proposing is more like what used to be called 'expert system', where the program encodes understanding of knowledge specific to the task.
A subtle difference I know - for an expert system the programmer encodes their 'expert' understanding of the problem, and in AI, the program works out its own 'understanding' through extensive training.
Example of expert system might be a set of pre-programmed questions that a Doctor might ask to diagnose a patient's problem and suggest a remedy - this expert system could not be retrained to diagnose a household plumbing issue.
Example of AI is to look at a brain scan and detect early onset Altzeimer's desease - the same ANN could be trained to detect dogs or boats in an image.
So, the task of detecting any knind of X or O drawn in any place of any size on 11x11 grid that is recognisable to a human as X or O is a reasonable challenge and could be approached with either approach I think.
From what I understand it may a bit different from traditional AI (which generallly uses an ANN to that is trained to a specific task, that can equally be trained for any number of other tasks - the ANN is generic and the training is specific to a task). I think what you are proposing is more like what used to be called 'expert system', where the program encodes understanding of knowledge specific to the task.
A subtle difference I know - for an expert system the programmer encodes their 'expert' understanding of the problem, and in AI, the program works out its own 'understanding' through extensive training.
Example of expert system might be a set of pre-programmed questions that a Doctor might ask to diagnose a patient's problem and suggest a remedy - this expert system could not be retrained to diagnose a household plumbing issue.
Example of AI is to look at a brain scan and detect early onset Altzeimer's desease - the same ANN could be trained to detect dogs or boats in an image.
So, the task of detecting any knind of X or O drawn in any place of any size on 11x11 grid that is recognisable to a human as X or O is a reasonable challenge and could be approached with either approach I think.
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