Knowledge Engineering environments aim at simplifying direct access to the technology for system designers, and the integration of Validation and Verification (V&V) capabilities in such environments may potentially enhance the users trust in the technology. In particular, V&V techniques may represent a complementary technology with respect to Planning and Scheduling (P&S) contributing to develop richer software environments to synthesize a new generation of robust problem-solving applications. This paper presents the integration of classical knowledge engineering features connected to support design of timeline-based P&S applications taking advantage of services of automated V&V techniques such as domain validation, planner validation, plan verification etc. The result is a Knowledge Engineering ENvironment (called KEEN) that exploits a state-of-the-art verification tool, i.e., UPPAAL-TIGA, as core engine to support the design and development of timeline-based planning and scheduling systems. © Springer International Publishing Switzerland 2013.

Integrating knowledge engineering for planning with Validation and Verification tools

Orlandini Andrea;Bernardi Giulio;Cesta Amedeo;
2013

Abstract

Knowledge Engineering environments aim at simplifying direct access to the technology for system designers, and the integration of Validation and Verification (V&V) capabilities in such environments may potentially enhance the users trust in the technology. In particular, V&V techniques may represent a complementary technology with respect to Planning and Scheduling (P&S) contributing to develop richer software environments to synthesize a new generation of robust problem-solving applications. This paper presents the integration of classical knowledge engineering features connected to support design of timeline-based P&S applications taking advantage of services of automated V&V techniques such as domain validation, planner validation, plan verification etc. The result is a Knowledge Engineering ENvironment (called KEEN) that exploits a state-of-the-art verification tool, i.e., UPPAAL-TIGA, as core engine to support the design and development of timeline-based planning and scheduling systems. © Springer International Publishing Switzerland 2013.
2013
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Inglese
Matteo Baldoni, Cristina Baroglio, Guido Boella, Roberto Micalizio (Eds)
AI*IA 2013: Advances in Artificial Intelligence - XIIIth International Conference of the Italian Association for Artificial Intelligence
AI*IA 2013
8249 LNAI
251
262
9783319035239
http://www.scopus.com/record/display.url?eid=2-s2.0-84892683092&origin=inward
Springer
Berlin Heidelberg
GERMANIA
Dicembre 2013
Torino
Domain modeling
Knowledge engineering
Timeline-based planning
Validation and verification
3
none
Orlandini, Andrea; Bernardi, Giulio; Cesta, Amedeo; Finzi, Alberto
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/280812
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