Costs of general purpose learning

Costs of General Purpose Learning

Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc-identification). His machine, on the successive graph points of f , outputs a corresponding infinite sequence of programs p0, p1, p2, . . ., and, for some i, the programs pi, pi+1, pi+2, . . . each compute a variant of f which differs from f at only finitel...

Toward General-Purpose Learning for Information Extraction

Two trends are evident in the recent evolution of the field of information extraction: a preference for simple, often corpus-driven techniques over linguistically sophisticated ones; and a broadening of the central problem definition to include many non-traditional text domains. This development calls for information extraction systems which are as retctrgetable and general as possible. Here, w...

General-Purpose Computation without General-Purpose Processors

Design features of language emerge from general-purpose learning mechanisms

There are certain universal properties of language that are taken to be definitional to the concept of language itself, such as the arbitrary relationship between sounds and meanings of words. Another possibility is that these “design features” of language may instead be the expressed consequences of general purpose learning constraints within the cognitive system learning the language. To test...

General Purpose Work Flow Languages General Purpose Work Flow Languages *

Work ow management requires language support for work ow speciication and task speciication. Many approaches and systems for work ow managementtherefore ooer at least one new language for work ow speciication; task speciication is usually done in a traditional language. This is motivated in particular by the fact that many components already exist and the task of the work ow tool is the speciic...