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TURING TEST AND ITS APPLICATION
Ahmadov Nurmukhammadkhon Hakim ugli,
Karshi State Technical University,
Student of the Department of Telecommunication Technologies
Annotation. The article notes that today the Turing test has undergone several
modifications and is used to evaluate many systems, including chatbots and virtual
assistants. It is noted that the use of the Turing test in the development of artificial
intelligence and its capabilities relative to humans is important not only in scientific
research, but also in the field of information technology, in practical testing of artificial
intelligence and the creation of real-life systems.
Key words: Turing test, system, chatbot, virtual assistant, evaluation, real-
world thinking, mind capture, artificial intelligence, scientific research, information
technology, testing.
Аннотация. В статье отмечается, что сегодня тест Тьюринга
претерпел несколько модификаций и используется для оценки многих систем,
включая чат-ботов и виртуальных помощников. Отмечается, что
использование теста Тьюринга в разработке искусственного интеллекта и его
возможностей относительно человека важно не только в научных
исследованиях, но и в сфере информационных технологий, при практическом
тестировании искусственного интеллекта и создании реальных систем.
Ключевые слова: Тест Тьюринга, система, чат-бот, виртуальный
помощник, оценка, реальное мышление, захват сознания, искусственный
интеллект, научные исследования, информационные технологии, тестирование.
The Turing test is a method proposed by British mathematician and computer
scientist Alan Turing in 1950, whose purpose is to assess the level of "intelligence" of
a machine or computer system. The test is designed to determine whether a machine is
capable of thinking like a human.
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Turing discussed the possibility of the development of artificial intelligence
and the possibility that such systems could possess true intelligence.
Alan Turing created the "Turing machine" in 1936, one of the key ideas that
paved the way for artificial intelligence. In 1950, in his famous paper "Computing
Machinery and Intelligence," he introduced a method for assessing artificial
intelligence, which he called the Turing test.
In his paper on the Turing test, Turing proposed that a similar question-and-
answer process should be established to determine the difference between computers
and humans. This test is called the Imitation Game.
According to Turing's proposal, the test involves three participants: a human, a
computer system, and an examiner. The examiner will only receive written answers to
questions posed by the examiner. It is not clear to the examiner who is the computer
and who is the human.
If the judge has difficulty distinguishing between a computer and a human, then
the computer is considered capable of thinking like a human. In other words, if a
computer can respond like a human, then it is considered to have "intelligence."
The Turing test is based on checking whether a computer system can produce
human-like responses. This system must be natural and effective in communicating
with humans. Otherwise, the judge will take the computer apart. The questions used in
the test can only be verbal and abstract. For example, questions like "What makes you
happy?" or "What book have you decided to read today?" help ensure that the computer
gives answers that are similar to those of humans.
Although the Turing test is one of the most important criteria for evaluating
artificial intelligence, it has been criticized. Some argue that the Turing test is not
sufficient to fully understand humanity and is inadequate for evaluating other systems
with intelligence.
The Turing Test is based solely on assessing the naturalness and effectiveness
of a conversation between a computer and a human. However, some believe that it
focuses only on "conversation" and "good communication". Therefore, many other
aspects of assessing "intelligence" are not taken into account.
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The Turing test sometimes highlights the fact that AI systems focus only on
"natural" or "creative" communication rather than on true logical thinking. For
example, conversations between "chatbots" often focus on engaging the user with
beautiful and understandable responses rather than understanding the truth.
The Turing test sometimes highlights the fact that AI systems focus only on
"natural" or "creative" communication rather than on true logical thinking. For
example, conversations between "chatbots" often focus on engaging the user with
beautiful and understandable responses rather than understanding the truth.
Current AI systems, such as GPT-3 and other natural language processing
systems, have shown some success in Turing-like tests. However, they are still limited
in answering the question of whether these systems can actually "think.".
New approaches have been developed based on the Turing test, such as tests
that aim to measure practical or "affective" thinking, rather than purely "logical"
thinking, in humans and computers. These systems attempt to take into account
different aspects of human thinking.
Modern artificial intelligence systems are evolving using machine learning and
deep learning. These systems are forcing us to rethink the Turing test itself.
The Turing test plays an important role in the development of artificial
intelligence. The uniqueness of the test proposed by Alan Turing is that it has changed
over time. and shows the importance of the need for updates. Today it remains not only
a historical monument, but also one of the main criteria for intellectual development.
The Turing test helps to identify the limitations, challenges, and successes of
artificial intelligence systems. Today, it raises questions about whether the test is truly
useful in measuring "intelligence" or whether other, more advanced methods are
needed.
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