Let me say a little bit about the content of the article (no spoiler!). It starts by motivating the study of descriptive complexity. Then, it moves on to the spectrum problem and Fagin's theorem (that NP = existential second-order logic), which marked the beginning of descriptive complexity. We then see some other capturing results in descriptive complexity (e.g. characterizations of P, PSPACE, etc.). My favorite capturing result mentioned here is DSPACE[n

^{v}] = VAR[v+1], where VAR[k] denotes the set of problems expressible by a sequence of first-order sentences using at most k variables. And so forth ... but let me mention another interesting thing written in the article. We notice that most of the capturing results use a linear ordering on the universe. [In fact, a linear ordering is necessary for these results to work.] For example, Immerman-Vardi theorem says that FO(LFP) captures PTIME over the class of ordered structures. However, FO(LFP) does

*not*capture PTIME over the class of all structures. In fact, a long-standing open problem in finite model theory is whether there exists a logic capturing order-independent PTIME problems. The article nicely surveys our progress towards resolving this problem. Another interesting thing that you will get to know a bit about is the phenomenon that one logic may be exponentially more "succinct" than another logic with the same expressive power.

A fair question to ask now is to what extent has descriptive complexity has helped us to answer structural complexity questions such as separating two complexity classes. Let me try to provide some answers to this question. I believe that the first switching lemma, which separates AC

^{0}from LOGSPACE, was proved by Miklos Ajtai using finite model theory. This result was independently discovered by Saxe, Sipser, and Furst around the same time using combinatorics. Most people, even finite model theorists, think that the combinatorial proof provided by Saxe et al. is easier to understand than Ajtai's proof. [Of course, we now have Hastad's switching lemma with some elegant proofs.] Next I will mention Immerman-Szelepscenyi theorem that NSPACE(f(n)) is closed under complementation. Immerman proved this by appealing to descriptive complexity, while Szelepscenyi by using some elementary combinatorics. In this sense, a skeptic might say that descriptive complexity has not really helped structural complexity theory. But, what has? Nothing much really, with expander graphs as one only exception (recall Reingold's recently proved theorem that L = SL). On the other hand, I believe that descriptive complexity helps us understand computational complexity. Many problems or classes in complexity theory have simple and elegant correspondence in descriptive complexity theory. In fact, some logical characterizations of complexity classes are commonly used by computational complexity theorists (e.g. logical characterizations of each level in the poly-time hierarchy). In this sense, I am positive that one day somebody who understands computational complexity, with some help from descriptive complexity, will resolve some of the most tantalizing open problems in structural complexity.