Time-critical problem-solving with cached knowledge: a case study in shortwave radio resource allocation

dc.creatorChatterjee, N
dc.creatorCampbell, J A
dc.date.accessioned2005-08-03T09:22:30Z
dc.date.accessioned2019-02-09T08:00:38Z
dc.date.accessioned2022-07-11T08:47:28Z
dc.date.available2005-08-03T09:22:30Z
dc.date.available2019-02-09T08:00:38Z
dc.date.available2022-07-11T08:47:28Z
dc.date.created2005-08-03T09:22:30Z
dc.date.created2019-02-09T08:00:38Z
dc.date.issued1999
dc.description.abstractSuccessful communication between two places through shortwave radio depends on the right choice (sometimes within a very short period) of both frequency and power. This choice involves calling on mixtures of precise models and heuristics about prevailing geophysical conditions, and knowledge of specific past experiences. The design and the features of a knowledge-based system that is capable of answering these requirements for a given transmission request are described. There are two unusual constituents: a caching structure that can accommodate different knowledge representations and time limits within which answers must be completed, and interpolation between items of knowledge in different cells of a cache. Results are demonstrated for simple but realistic radio propagation exercises, to illustrate the effectiveness of caching and interpolation for time-critical knowledge-based computations.
dc.identifierEngineering Applications of Artificial Intelligence, 12(3), 363-378
dc.identifierhttp://localhost:8080/xmlui/handle/12345678/686
dc.identifier.urihttps://demo7.dspace.org/handle/10673/8041
dc.languageen
dc.subjectTime-critical computing
dc.subjectCaches
dc.subjectKnowledge representation
dc.subjectKnowledge interpolation
dc.subjectShortwave radio
dc.titleTime-critical problem-solving with cached knowledge: a case study in shortwave radio resource allocation
dc.typeArticle
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