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

Citation
N. Chatterjee et Ja. Campbell, Time-critical problem-solving with cached knowledge: a case study in shortwave radio resource allocation, ENG APP ART, 12(3), 1999, pp. 363-378
Citations number
19
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
ISSN journal
09521976 → ACNP
Volume
12
Issue
3
Year of publication
1999
Pages
363 - 378
Database
ISI
SICI code
0952-1976(199906)12:3<363:TPWCKA>2.0.ZU;2-M
Abstract
Successful communication between two places through shortwave radio depends on the right choice (sometimes within a very short period) of both frequen cy and power. This choice involves calling on mixtures of precise models an d heuristics about prevailing geophysical conditions, and knowledge of spec ific past experiences. The design and the features of a knowledge-based sys tem that is capable of answering these requirements for a given transmissio n request are described. There are two unusual constituents: a caching stru cture that can accommodate different knowledge representations and time lim its within which answers must be completed, and interpolation between items of knowledge in different cells of a cache. Results are demonstrated for s imple but realistic radio propagation exercises, to illustrate the effectiv eness of caching and interpolation for time-critical knowledge-based comput ations. (C) 1999 Elsevier Science Ltd. All rights reserved.