  Within classical AI, a variety of workable solutions to the logical frame problem have been developed, and it is no longer considered a serious obstacle even for those working in a strictly logic-based paradigm (Shanahan 1997; Reiter 2001; Shanahan 2003; Lifschitz 2015). It's worth noting that logically-minded AI researchers can consistently retain their methodology and yet, to the extent that they view their products purely as engineering, can reject the traditional cognitive scientist's belief in the importance of computation over representations for understanding the mind.  Moreover, insofar as the goal of classical AI is not computers with human-level intelligence, but is simply the design of better and more useful computer programs, it is immune to the philosophical objections of Fodor, Dreyfus, and the like.  Significantly though, for AI researchers working outside the paradigm of symbolic representation altogether—those working in situated robotics, for example—the logical frame problem simply doesn't feature in day-to-day investigations.