Artificial intelligence aims to guide ordinary readers through the scientific and technological principles that make artificial intelligence possible to better understand the current development and universality of artificial intelligence in our lives.
There are two basic questions about artificial intelligence, and the arguments of the whole book are related to them: “First, should artificial intelligence use machines to activate the performance provided by humans, or [second] try to do these things the way we do? Suppose we can Know how our brain and body work? In other words, should artificial intelligence do what we do in our own way, or should it do what we do?
In fact, such problems are associated with the two main methods of artificial intelligence, the so-called “classical artificial intelligence” and machine learning (ML). Since the 1960s, classical artificial intelligence has sought to make artificial intelligence closer to human reasoning using logic and building representations. ML is relatively new and lags far behind its current success. It runs a completely different path. As long as the man-made system answers the question regardless of Chatdung, it generally manipulates numbers and statistical patterns.
However, as Daniel Kahneman’s Behavioral Economics (Thought, Fast, Slow) shows, artificial intelligence that operates in a completely rational way simply by manipulating logical symbols has no way humans actually think.
This book aims to support students and help them understand each concept in detail. We hope to ensure that all students benefit from this book.
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