What Are the Fundamental Assumptions Behind Strong AI?

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The discussion centers on the fundamental assumptions behind strong AI, emphasizing that cause and effect govern all macroscopic physical systems and that the brain functions as a computational mechanism. The importance of "cause and effect" is highlighted as a critical element in the argument for strong AI, suggesting that understanding these principles is essential for developing AI systems that mimic human cognition. Additionally, there is mention of a prototype AI personality being developed, which seeks feedback on its design, particularly regarding the integration of mathematical principles and healthy relationships in personality modeling.
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What are the most fundamental assumptions behind strong AI? Would you agree that strong AI claims:
1) the most fundamental assumption is that cause and effect governs all (macroscopic) physical systems
2) the brain is a physical system which is essentially a computational mechanism.

What do you think is the importance of "cause and effect" to the strong AI arguement?
 
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Q Goest: I happen to be in the middle of the first draft of a prototype, A.I. personality.
It would be quite an honour to entertain any feed back of interest you my have in helping me complete this entity. I find that there are a hand full of a combination of systems I have used to answer that question; ie. the ability to analyze and reduce the personalitys of mathematics to a matter of healthy relationships(do you follow)?!
Urgent: Reply Soon...Medium...>
 

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