Neat versus Scruffy: Fundamentals and Applications
Podrobnosti o e‑knize
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.
