Can an AI physicist derive the natural laws of imagined universes? | Part 1 : The Big Question !

As a student, Galileo famously observed a lamp swinging in Pisa Cathedral and timed its swing against his pulse. What he concluded was that the period was constant and independent of its amplitude.

Later he went on to suggest that a pendulum could control a clock and then later designed such a machine, even though the first clock of this type was built by Huygens some 15 years after Galileo’s death.

 In this discovery, Galileo’s genius was to ignore all the messy details that were otherwise present in the cathedral—air resistance, temperature, flickering light, noise, other people, etc. He simply considered a model of a swinging lamp using only its period, focusing on the salient detail.

For many historians, Galileo’s approach represents the earliest stage in the evolution of the scientific method, the same process that has produced flight, quantum theory, electronic computing, general relativity, and even artificial intelligence. 

Since last few years, AI systems have begun to find interesting patterns in data by themselves and even as a result have derived certain laws of physics. But in these cases, AI has always studied a special data set that had been isolated from real world distractions. The capability of these AI systems is a far way from the capability of humans such as Galileo, Einstine and so on. And this raises an interesting question that,

Is it possible to design an AI system that develops theories the way Galileo did, zeroing in on the information it needs to explain different aspects of the world it observes? This is a question worth to thinking of !

Again we get more questions to think of and the day we get answers to this questions that day we will bring a big revolution in the field of Physics and many others.