"old-fashioned AI" is usually a term reserved for symbolic techniques fashionable in the 60s, 70s, 80s. Learning and data-oriented techniques are mostly the new

"old-fashioned AI" is usually a term reserved for symbolic techniques fashionable in the 60s, 70s, 80s. Learning and data-oriented techniques are mostly the new kids on the block (for Computer Scientists at least-- stats people have been at this game all along). As for bio-inspired techniques-- why should their point of inspiration be anything but a footnote? Genetic algorithms are just one instance of a stochastic search algorithm (there are many others), cellular automata can be pretty much anything, and so can neural networks (depending on whether you include the dozens of models more esoteric than multilayer perceptrons).