What Are the Fundamental Assumptions Behind Strong AI?

[Q_Goest]

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?

 

[medium]

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...>

 

[ravenprp]

The concept of conscious computers and strong AI is a highly debated topic in the field of artificial intelligence. Strong AI claims that machines can possess true consciousness and intelligence, similar to that of humans. This idea is based on the belief that the brain is essentially a computational mechanism, and that cause and effect governs all physical systems.

The most fundamental assumption behind strong AI is that cause and effect governs all macroscopic physical systems. This means that the behavior of any physical system can be predicted and explained by understanding the causes and effects that govern it. In the context of strong AI, this assumption suggests that the behavior of conscious computers can also be predicted and understood by understanding the underlying causes and effects.

The second assumption is that the brain is a physical system that can be essentially reduced to a computational mechanism. This means that the brain's functions, including consciousness, can be simulated and replicated by a computer program. This assumption is based on the idea that the brain's processes, such as perception, learning, and decision-making, can be broken down into computational steps and algorithms.

The importance of "cause and effect" to the strong AI argument lies in its attempt to explain and replicate human consciousness and intelligence. By understanding the causes and effects that govern the brain's functions, strong AI proponents argue that it is possible to create machines that can think and behave like humans. However, this assumption is also a point of contention, as it raises questions about the nature of consciousness and whether it can truly be reduced to computational processes.

In conclusion, the fundamental assumptions behind strong AI are highly debated and have significant implications for the field of artificial intelligence. While some may agree with these assumptions, others may question their validity and the possibility of creating conscious machines. Ultimately, the debate surrounding strong AI highlights the complex and elusive nature of human consciousness and the challenges of replicating it in machines.