Artificial Intelligence Dbq

During the late 20th century, Artificial Intelligence was quickly becoming a method for exceeding the limitations of human thought due to its immense number crunching abilities. Due to the information that AI offered, the unlimited potential of AI was discovered. It is debatable over what it means for something to be intelligent and be considered AI1. In 1952, the first AI conference was held place in Dartmouth College and they spent lots of money in order to research AI and create it . They believed they could get something that could follow Turing’s test. Alan Turing in 1952 presented the idea that AI is only AI if you can’t tell the difference while in conversation between a human and the machine . They took this seriously but soon ended

But indeed, the emergence of books and programs that were written during the 20th century have concrete evidence of being influential. The first piece of evidence that argues that it wasn’t influential is the Dartmouth Conference for AI. Some think it wasn’t influential because it stopped very soon but, it gave insight to AI and lead to other programs that would be considered AI. The programs and thought experiments during the time were coming out near this time frame which is proof that this conference was useful. Two thought experiments that were highly influential were Alan Turing’s hypothesis that stated that if you cannot tell the difference between conversation with AI and humans it is considered AI. This thought experiment is what programs motive basis was built upon including the brute-force program, Deep Blue program. Allen Newell, J, Clifford Shaw and Herb Simon were also writing programs but had limited time and limited tools, the reason for the end of the conference7. An influential thought experiment that came from these people was the idea of Heuristics and they had a firm belief that that was the way to have reasonable AI7. Knowledge based systems would also be presented during the 60s and early 70s that people would consider a “paradigm shift in AI”. During this time there was also already thousands of expert systems that could make intelligent decision making and the ability to understand how to make these complex machines began to grow because of the considerable progress in understanding common modes of reasoning such as case-based and default reasoning, reasoning under uncertainty, induction and many others7. Which is definitely a big leap in the progress of Artificial Intelligence. The biggest piece of