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Goal-driven automation of a deep space communications station: a case study in knowledge engineering for plan generation and execution (1998)

Hill, Jr., Randall W. ; Chien, Steve A. ; Fayyad, Kristina V.

Oxford, UK and Boston, USA : Blackwell Publishers Ltd

Expert systems 15 (1998), S. 0

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ISSN: 1468-0394

Source: Blackwell Publishing Journal Backfiles 1879-2005

Topics: Computer Science

Notes: Abstract: This paper describes the application of Artificial Intelligence techniques for plan generation, plan execution, and plan monitoring to automate a Deep Space Communication Station. This automation allows a communication station to respond to a set of tracking goals by appropriately reconfiguring the communications hardware and software to provide the requested communications services. In particular this paper describes: (1) the overall automation architecture, (2) the plan generation and execution monitoring AI technologies used and implemented software components, and (3) the knowledge engineering process and effort required for automation. This automation was demonstrated in February 1995, at the DSS13 Antenna Station in Goldstone, CA on a series of Voyager tracks and the technologies demonstrated are being transferred to the operational Deep Space Network stations.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1111/1468-0394.00073

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