Turing Test: Fundamentals and Applications

Β· Artificial Intelligence Книга 176 Β· One Billion Knowledgeable Β· ΠžΠ·Π²ΡƒΡ‡Π΅Π½ΠΎ ИИ Mason (ΠΎΡ‚ Google)
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4Β Ρ‡. 5Β ΠΌΠΈΠ½.
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ΠžΠ·Π²ΡƒΡ‡Π΅Π½ΠΎ ИИ
ΠžΡ†Π΅Π½ΠΊΠΈ ΠΈ ΠΎΡ‚Π·Ρ‹Π²Ρ‹ Π½Π΅ ΠΏΡ€ΠΎΠ²Π΅Ρ€Π΅Π½Ρ‹. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅β€¦
Π”ΠΎΠ±Π°Π²ΠΈΡ‚ΡŒ ΠΎΡ‚Ρ€Ρ‹Π²ΠΎΠΊ Π΄Π»ΠΈΠ½ΠΎΠΉ 24Β ΠΌΠΈΠ½.? Π•Π³ΠΎ ΠΌΠΎΠΆΠ½ΠΎ ΡΠ»ΡƒΡˆΠ°Ρ‚ΡŒ Π² любоС врСмя, Π΄Π°ΠΆΠ΅ ΠΎΡ„Π»Π°ΠΉΠ½.Β 
Π”ΠΎΠ±Π°Π²ΠΈΡ‚ΡŒ

Об Π°ΡƒΠ΄ΠΈΠΎΠΊΠ½ΠΈΠ³Π΅

What Is Turing Test


The Turing test, which Alan Turing developed in 1950 and initially referred to as the imitation game, is a test that determines whether or not a machine is capable of exhibiting intelligent behavior that is equivalent to, or indistinguishable from, that of a human. Turing envisioned that a human evaluator would judge natural language talks between a human and a machine intended to create human-like responses. These discussions would take place between a human and the machine. The evaluator would be aware that one of the two parties in discussion was a machine, and all of the participants would be kept at a physical distance from one another. Because the conversation would take place solely through a text-only channel, such as a computer keyboard and screen, the outcome would not be contingent on the device's capacity to convert written words into spoken ones. The machine is considered to have successfully completed the test if the evaluator is unable to consistently differentiate between the machine and the human subject. The results of the test would not depend on whether or not the machine was capable of providing accurate responses to questions; rather, they would be based solely on how closely its responses resembled those that a human would provide.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Turing test


Chapter 2: Artificial intelligence


Chapter 3: Computing Machinery and Intelligence


Chapter 4: Chinese room


Chapter 5: Loebner Prize


Chapter 6: Artificial general intelligence


Chapter 7: History of artificial intelligence


Chapter 8: Philosophy of artificial intelligence


Chapter 9: Eugene Goostman


Chapter 10: Winograd schema challenge


(II) Answering the public top questions about turing test.


(III) Real world examples for the usage of turing test in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of turing test' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of turing test.

Об Π°Π²Ρ‚ΠΎΡ€Π΅

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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ΠŸΡ€ΠΎΠ΄ΠΎΠ»ΠΆΠ΅Π½ΠΈΠ΅ сСрии

Π”Ρ€ΡƒΠ³ΠΈΠ΅ ΠΊΠ½ΠΈΠ³ΠΈ Π°Π²Ρ‚ΠΎΡ€Π° Fouad Sabry

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