Abstract
In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning. GIPO assists in the knowledge formulation of planning domains, and in prototyping planning problems within these domains. GIPO features mixed-initiative components such as generic type composition, an operator induction facility, and various plan animation and validation tools. We outline the basis of the main tools, and show how an engineer might use them to formulate a domain model. Throughout the paper we illustrate the formulation process using the Hiking Domain.
Original language | English |
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Title of host publication | Engineering Knowledge in the Age of the Semantic Web |
Subtitle of host publication | 14th International Conference, EKAW 2004, Whittlebury Hall, UK, October 5-8, 2004. Proceedings |
Editors | Enrico Motta, Nigel R Shadbolt, Arthur Stutt, Nick Gibbins |
Publisher | Springer-Verlag Berlin Heidelberg |
Pages | 449-465 |
Number of pages | 17 |
Volume | LNAI 3257 |
ISBN (Electronic) | 9783540302025 |
ISBN (Print) | 9783540233404 |
DOIs | |
Publication status | Published - 2004 |
Event | 14th International Conference EKAW 2004: Engineering Knowledge in the Age of the Semantic Web - Whittlebury Hall, Whittlebury, United Kingdom Duration: 5 Oct 2004 → 8 Oct 2004 Conference number: 14 |
Publication series
Name | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
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Publisher | Springer-Verlag Berlin Heidelberg |
Volume | LNAI 3257 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 14th International Conference EKAW 2004 |
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Country/Territory | United Kingdom |
City | Whittlebury |
Period | 5/10/04 → 8/10/04 |