10-07-2012, 11:15 AM
ARTIFICIAL BRAIN
ABSTRACT
A lot of research has already been done in the field of A.I. or C.I., but when looking closer no major breakthrough has yet been accomplished in creating an Artificial Brain (A.B.)! Why? A wrong approach in the way of looking at this challenge is the answer! Imitating brain functions (like neural networks or even some emotions) help us in a lot of domains where a simple form of intelligence is needed, but as some experts in neural networks have discovered by now, something is missing (as a matter of fact a lot is missing) to go from that one point to an actual self learning system capable of real thinking in 'new' fields (like we do).
Some major companies invest heavily in artificial neurons or even build microchips by cutting tiny slices of both human and non-human brain-parts and measuring the electric charge present at that moment in the hope to achieve a major breakthrough in creating an artificial brain! The key question remains if this is the road to success and personally I am not really convinced it is!
The available processing power of computer systems (even with multiple processors per system) these days is so immense and thanks to networks, this capacity can be adjusted till virtually unlimited! Of course, computer systems are not the best host for gigantic parallel multitasking as required for super-complex neural networks like brain imitations where this capacity is the primary necessity. But instead of overcomplicating things by imitating the brain to the letter, I took a complete different approach and as you will discover in this document, it is not only simpler, better manageable and cheaper, but if developed in an experienced team it should be very well possible to have a fully functional artificial brain within a reasonable timeframe !!!! A side effect of my research is the fundamental wisdoms I discovered directly applicable in the field of human interest like psychology. Also in this area I personally have the feeling a lot is known (and sometimes made extremely complicated) but the pieces not always fall together and that is a shame since most people could (in) directly benefit from this …
ABSTRACT
A lot of research has already been done in the field of A.I. or C.I., but when looking closer no major breakthrough has yet been accomplished in creating an Artificial Brain (A.B.)! Why? A wrong approach in the way of looking at this challenge is the answer! Imitating brain functions (like neural networks or even some emotions) help us in a lot of domains where a simple form of intelligence is needed, but as some experts in neural networks have discovered by now, something is missing (as a matter of fact a lot is missing) to go from that one point to an actual self learning system capable of real thinking in 'new' fields (like we do).
Some major companies invest heavily in artificial neurons or even build microchips by cutting tiny slices of both human and non-human brain-parts and measuring the electric charge present at that moment in the hope to achieve a major breakthrough in creating an artificial brain! The key question remains if this is the road to success and personally I am not really convinced it is!
The available processing power of computer systems (even with multiple processors per system) these days is so immense and thanks to networks, this capacity can be adjusted till virtually unlimited! Of course, computer systems are not the best host for gigantic parallel multitasking as required for super-complex neural networks like brain imitations where this capacity is the primary necessity. But instead of overcomplicating things by imitating the brain to the letter, I took a complete different approach and as you will discover in this document, it is not only simpler, better manageable and cheaper, but if developed in an experienced team it should be very well possible to have a fully functional artificial brain within a reasonable timeframe !!!! A side effect of my research is the fundamental wisdoms I discovered directly applicable in the field of human interest like psychology. Also in this area I personally have the feeling a lot is known (and sometimes made extremely complicated) but the pieces not always fall together and that is a shame since most people could (in) directly benefit from this …