foreword
I have always liked reading papers. In my view, a good paper does more than present a result. It explains what problems the researchers wanted to solve, what assumptions they made, what was not working at the time, and why a new idea seemed worth pursuing. In that sense, papers are one of the best ways to understand a field, because they not only present the methods but also the motivations that produced them.
That is one of the reasons I enjoyed and recommend this book. It takes a good mix of influential papers and turns them into a guided tour through the development of modern AI. And rather than treating these works as a mere list, it shows how they connect. You can see how one line of work created the conditions for the next and how practical issues shaped research priorities that ultimately led to the methods we use today.