This is a book every modern control engineer should have on his/her reference bookshelf. It is worth the $89.00 price even if you have to pay for it out of your personal funds. First, it collects in one place, in consistent notation, all of the information on computational Intelligence (CI), such as Neural Networks (NN), Fuzzy Logic (FL), Genetic Algorithms (GA), and other acronyms like SA, radial basis function networks (RBFN’s), etc., that you always wanted to know but were afraid to ask regarding the mass of jargons that have grown over the years in the subject. Second, this is a thoroughly modern book complete with Matlab exercises, companion floppy disks (for the asking from the publisher), and websites for the latest updates and resources. Third, the book is remarkably restrained in its hype for the subject, which cannot be said for many other works in this area. Finally, there is useful information in here that control engineers should know beyond the traditional tools of the trade such as H1, robustness, LQG, Lyapunov, and other differential equation/frequency domain-based techniques. Having said this, let me provide a guided tour for the readers and some reservations. 1 Before doing this, however, we shall first state some well-known facts and self-evident truths (at least to the readers of the IEEE TRANSACTIONS ON AUTOMATIC CONTROL) with which to better understand the structure of CI and to penetrate the jargons. 2