Artificial intelligence is a broad field: that's why [Artificial Intelligence: A Modern Approach][1] may look a bit dense to newcomers, given that it covers many different aspects of AI, such as search, machine learning, and natural language processing.

The first book in [this answer][2] is a good book, but it focuses on evolutionary computation approaches, which are often considered part of AI too. The other books that you mention in your post also focus on subfields of AI, such as machine learning or image processing, so they do not cover all aspects of AI. 

If you want a good book similar to AIMA, you should definitely take a look at [**Artificial intelligence**][3] (3rd edition, 1992) by Patrick Winston, [who was a professor at MIT and also director of the AI Lab at MIT][4]. You can also find his free course on Artificial Intelligence (which I highly recommend) [here][5].

Another similar book that attempts to give an extensive overview of the AI field is [**Artificial Intelligence: A New Synthesis**][6] (1998) by [Nils J. Nilsson][9] ([here][8] is the link to Google Books, which shows you a preview of many pages of the book), who also wrote other important books related to AI and the philosophy of AI, such as [**The Quest for Artificial Intelligence: A History of Ideas and Achievements**][7] (2009), among other important contributions to the AI field, such as [the robot _Shakey_][11] and [_STRIPS_][10].

Just to give you more evidence that these are very important books, these are all available at my university library.