CADIE: Cognitive Autoheuristic Distributed-Intelligence Entity

More April Fool’s fun – a page linked from Google’s main page at the moment; see the full page for more details.   (This one would be more fun if it weren’t likely there are lots of Google engineers actually working on related research…)

Now we were finally ready to begin the painstaking work of building the first evolving intelligent system. We based our work on three core principles. First we designed the entity (as we decided to refer to our Cognitive Autoheuristic Distributed-Intelligence Entity early on) as a collection of interconnected evolving agents. Second - and this really cost us an arm and leg in hardware and core time - we let the system build its own heuristics, deploy them as agents and evolve them by running a set of evolutionary cascades within probabilistic Bayesian domains. The third - a piece missing in most AI reasoning work thus far - was to give the entity access to a rich, realistic world from which to learn and upon which it could act directly. Google's mission has always been to organize the world's knowledge and make it universally accessible and useful. CADIE, to say the least, demanded an emphasis on the latter.

CADIE: Cognitive Autoheuristic Distributed-Intelligence Entity