Paging operations research people: how is the field evolving? [on hold]

I asked this question to the OR community (https://or.stackexchange.com/questions/1498/how-is-the-field-of-operations-research-evolving) but, since there are quite a few CS people working in OR, I would like to get the perspective of the community.

Classically, it seems the problems that OR people studied (at least the ones I am most familiar with) were related to decision theory, optimization and scheduling, and queuing theory with the general sentiment that solving these problems would be of interest to a company’s operations.

More recently, the lines between OR and other fields have gotten a bit more blurry for me. I am seeing more venues that focus on the intersection between OR, economics (game theory), and computer science. For example, see the recent talks at EC. Also see a new INFORMS conference on the intersection of OR and security.

Question(s): My main question concerns the current trajectory of the OR field and OR departments. Is the focus of OR becoming blurry or has the underlying motivation for the field changed? What’s the future for OR: as problems traditionally studied under OR become more central in society, will other fields (e.g. computer science) begin to take over/cannibalize OR departments?

Evolving expert systems with machine learning

Expert systems seem to have been left at the wayside a little bit in the 21st century. In fact, expert-systems was not even a tag on this site (until I just created it). The traditional focus in expert systems has been on rule based systems and logical resolution via, for example, 2-SAT backward chaining. Have there been attempts to integrate modern machine learning with traditional expert systems theory?