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Below is a brief timeline of the history of AI:
\n\n\nThe timeline above is in no way an exhaustive list of the full history of aritificial intelligence but a snapshot of some of the main achievements.
\nWho invented the perceptron?
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\nThe main precept of the Turing Test is to determine whether a computer can think and whether this display of \"intelligence\" is comparable or indistinguishable from human intelligence.
\nTuring re-defines the question of \"Can machines think?\" by describing the problem in terms of a game which he named the imitation game.
\nThe imitation game is a game which requires an interrogator, a machine and a human player. The test requires a conversation by the program (by online typed messages) with an interrogator who then has to decide if the conversation is with a program or a person, the program passes the test if it decieves the interrogator 30% of the time.
\nThe Turing test has been highly influencial, particularly in the field of the philosophy of artificial intelligence, however it has also been the subject of much criticism. One of the main issues with the Turing test is that it does not test intelligence it only measures whether a computer acts like a human and human behaviour and intelligence are two seperate things.
\n\n\n\nIn what year was the Turing test developed?
", "advice": "", "variables": {}, "ungrouped_variables": [], "metadata": {"licence": "Creative Commons Attribution-NonCommercial 4.0 International", "description": ""}, "variablesTest": {"condition": "", "maxRuns": 100}, "preamble": {"css": "", "js": ""}, "variable_groups": [], "rulesets": {}, "tags": [], "functions": {}, "type": "question"}, {"name": "What is AI?", "extensions": [], "custom_part_types": [], "resources": [["question-resources/Subjects_and_AI.png", "/srv/numbas/media/question-resources/Subjects_and_AI.png"], ["question-resources/AI_ML_DL.png", "/srv/numbas/media/question-resources/AI_ML_DL.png"]], "navigation": {"allowregen": true, "showfrontpage": false, "preventleave": false, "typeendtoleave": false}, "contributors": [{"name": "Becky Allen", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/3419/"}], "tags": [], "metadata": {"description": "", "licence": "Creative Commons Attribution-NoDerivs 4.0 International"}, "statement": "Artificial Intelligence (AI) is a field of computer science which endeavours to comprehend what intelligence is and to create intelligent machines.
\nA few formal definitions of AI:
\nProfessor John McCarthy (coined the term AI):
\nAI \"is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.\"
\nOxford English Dictionary:
\nAI is \"the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.\"
\nEncyclopedia Britannica:
\"AI, the ability of a digital computer or a computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans,such as the ability to reason, discover meaning, generalize, or learn from past experience.\"
\n\nThere are many disciplines which contribute to AI including:
\n\n\nWithin the field of AI there many subdisciplines such as machine learning, deep learning and reinforcement learning which will be covered in later tutorials.
\n\n\n\nReal-Life AI Applications
\nAI technology is applied within many differing domains including:
\n\n
Who created the term 'AI'?
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