High Yield Cognitive Systems
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In 2002, the Defense Advanced Research Projects Agency (DARPA) Information Processing Technology Office (IPTO) outlined a unified vision for the future of computing technologies that possess human-like information processing capabilities in its Broad Agency Announcement 02-21 . To disambiguate this new direction from myriad approaches to the same problem that were already described in the academic literature, IPTO director Ron Brachman chose to call this approach "cognitive computing." Research over the following years led to a number of important advances in cognitive computing , including the development of a number of architectures for achieving high-functioning computer reasoners in important problem domains. It was quickly determined, though, that the cognitive computing vision was in fact not ambitious enough; that its target of human capability was too limited to achieve traction on many of the problems produced by the defense community.
High yield cognitive systems (HYCS) extend the goals laid out by the original IPTO BAA. These systems are expected to not only to emulate human capability, but to do so on massive volumes of input data and search spaces that are typically the domain of supercomputers. These additional constraints expose a number of important engineering problems that are themselves the domain of active research.
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DARPA Broad Agency Announcement 02-21
