Neat versus Scruffy: Fundamentals and Applications

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ЭлСктронная ΠΊΠ½ΠΈΠ³Π°
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ΠžΡ†Π΅Π½ΠΊΠΈ ΠΈ ΠΎΡ‚Π·Ρ‹Π²Ρ‹ Π½Π΅ ΠΏΡ€ΠΎΠ²Π΅Ρ€Π΅Π½Ρ‹. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅β€¦

Об элСктронной ΠΊΠ½ΠΈΠ³Π΅

What Is Neat versus Scruffy

Artificial intelligence (AI) research can take either a clean and organized approach or a messy and unorganized one. The distinction was initially made in the 1970s and continued to be a topic of debate until the middle of the 1980s. Research in artificial intelligence has almost entirely used "neat" methods throughout the 1990s and into the 21st century, and these methods have shown to be the most successful.


How You Will Benefit


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


Chapter 1: Neats and scruffies


Chapter 2: Artificial intelligence


Chapter 3: Symbolic artificial intelligence


Chapter 4: Artificial general intelligence


Chapter 5: History of artificial intelligence


Chapter 6: Philosophy of artificial intelligence


Chapter 7: Hubert Dreyfus's views on artificial intelligence


Chapter 8: Physical symbol system


Chapter 9: GOFAI


Chapter 10: Blocks world


(II) Answering the public top questions about neat versus scruffy.


(III) Real world examples for the usage of neat versus scruffy in many fields.


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

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