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Inspirations of artificial intelligence:
Artificial Intelligence research can be easily understood by following example in terms of how the following question has been answered:
"Just how are we going to get a computer to manage intelligent tasks?"
One method to answer the of this question is to say that:
Logic makes a science out of various forms of reasoning, which play their part in intelligence for difficult problems, most of these algorithms can require vast computational optimistic resources. So, let's build our programs and implement on logical theories.
Theoretically (from a philosophical and psychological perspective) and practically (via specific implementations of systems that generate outputs that can be considered creative .This has led to the use of logic - drawing on mathematics with analysing and philosophy - in a great deal of "AI" research. This means that we can be very accurate about the algorithms we execute, write our programs in very clear ways using data and logic programming fundamental languages, and even prove things about the programs we introduce.
Fully Parallel Associative Processor (FPAP): This processor accepts the bit parallel memory organisation. FPAP has two type of this associative processor named as: Word Org
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