It's highly parallel, and suggests also how multiple agents might collaborate to seek a goal (such as blocking all the possible exits that a pac man might take). See section 3.2 of the paper (
http://www.cs.colorado.edu/~ralex/papers/PDF/OOPSLA06antiobj...) for an example of this. It's also an approach they've taught with some success to very young students. Seems extremely significant and need-to-know for anyone implementing game ai, even if they've already implemented other pathfinding algorithms. I'm certainly happy to see this! It's awesome and eye opening.
