AI-based planning for data analysis tasks [for Earth sciences]

Author

Lansky, Amy L. ; Philpot, Andrew G.

Author_Institution

NASA Ames Res. Center, Moffett Field, CA, USA

fYear

1993

fDate

1-5 Mar 1993

Firstpage

390

Lastpage

398

Abstract

Describes the application of a domain-independent planner, COLLAGE, (Co-Ordinated Localized aLgorithms for Action Generation and Execution), to the task of planning data-retrieval and data-preparation steps performed by Earth scientists. They describe the nature of this process, its inherent difficulties, the potential benefits of automation, and why AI-based planning is particularly suitable for carrying out this automation. The COLLAGE architecture and the progress made on the development of a prototype implementation are outlined. Two features of COLLAGE that make it particularly useful are its use of localized searching and a diverse and extendable set of plan construction techniques

Keywords

data analysis; data preparation; geophysics computing; information retrieval; planning (artificial intelligence); search problems; AI-based planning; COLLAGE; Earth sciences; action execution; action generation; automation; coordinated localized algorithms; data analysis; data-preparation; data-retrieval; domain-independent planner; localized searching; plan construction techniques; prototype implementation; Artificial intelligence; Automation; Costs; Data analysis; Earth Observing System; Ecosystems; Geoscience; Meeting planning; NASA; Prototypes;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-8186-3840-0

Type

conf

DOI

10.1109/CAIA.1993.366640

Filename

366640