LPIS Home Page
Google Search

Title: Web Services for Adaptive Planning
Author(s): G. Tsoumakas, G. Meditskos, D. Vrakas, N. Bassiliades, I. Vlahavas.
Availability: Click here to download the PDF (Acrobat Reader) file (10 pages).
Appeared in: Proc. ECAI04 Workshop on Planning and Scheduling: Bridging Theory to Practice, D. Borrajo (Ed.), IOS Press, Valencia Spain, 2004.
Abstract: This paper presents the design and development of an adaptive planning system using the technology of Web services. The Web-based adaptive planning system consists of two modules that can work independently. The first one is called HAP-WS and is the Web service interface to the domain independent planner HAP (Highly Adjustable Planner) that can be customized through the adjustment of several parameters, either manually or automatically. In the manual mode, the user itself adjusts planner parameters giving explicitly the values. In the automatic mode, the second subsystem, called LAMP-WS, computes the values of the planning parameters of HAP. LAMP-WS is the Web service interface to the learning system LAMP (Lazy Adaptive Multicriteria Planning) that can automatically configure a planning system using instance-based learning on past performance data of that system. The two subsystems are implemented as independent Web services, which can be used stand-alone and reside in different servers in potentially different geographical locations.
See also :

        This paper has been cited by the following:

1 T.M. Vernieri, R.M. Young, "Fletcher: A Web Service for Planning", Working Draft, 2005.
2 T. M. Vernieri, "A Web Services Approach to Generating and Using Plans in Configurable Execution Environments", Master Thesis, North Carolina State University, 2006
3 B. Schattenberg, S. Balzer, and S. Biundo, "Semantic Web Technology as a Basis for Planning and Scheduling Systems", Proc. of the 20th Workshop "Planen und Konfigurieren" (PuK'06), J. Sauer (ed.) pp. 26-36, University of Bremen, 2006. ISBN 3-88722-670-4.
4 O. Hatzi, "Web Service Composition through AI Planning", PhD Thesis, Department of Informatics and Telematics, Harokopeio University, 2009