The Turing test, as it was originally conceived, would determine the ability of an AI machine to converse with humans. It involved an evaluator, a human partner, and the machine, each separated so they can’t see each other. The evaluator would pose some complex questions and converse with both parties. This would be done through text, to avoid influencing the outcome due to differences in speech and voice.
If the evaluator is unable to tell the difference between the human and the machine, then the machine would be considered to have passed the test.
The Turing test remains a popular concept in the mainstream consciousness regarding the future of AI.
Research eventually branched off from machine dominican republic mobile database translation toward other linguistic applications. One of the most notable examples is ELIZA, a program designed to simulate conversation with a psychotherapist.
ELIZA used a simple process of placing weighted values on key words, and using these weights to reorganize the input sentences into a different form, often a question. This mimicked the way a psychotherapist reflected what a patient would say during a session.
Needless to say, there was no true understanding on the part of the machine during this whole process, only an algorithm. But that didn’t stop people from being convinced of the AI’s intelligence.
ELIZA was called the first “chatterbot”. It is the forerunner of today’s chatbots and the infinitely more sophisticated LaMDA system of Google.