Sökning: id:"swepub:oai:DiVA.org:oru-110796" >
Extracting Planning...
Extracting Planning Domains from Execution Traces : a Progress Report
-
- Gugliermo, Simona, 1995- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Intelligent Transport Systems, Scania CV AB, Södertälje, Sweden,Center for Applied Autonomous Sensor Systems (AASS)
-
- Schaffernicht, Erik, 1980- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Center for Applied Autonomous Sensor Systems (AASS)
-
- Koniaris, Christos (författare)
- Intelligent Transport Systems, Scania CV AB, Södertälje, Sweden
-
visa fler...
-
- Saffiotti, Alessandro, Professor, 1960- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Center for Applied Autonomous Sensor Systems (AASS)
-
visa färre...
-
(creator_code:org_t)
- 2023
- 2023
- Engelska.
- Relaterad länk:
-
https://oru.diva-por... (primary) (Raw object)
-
visa fler...
-
https://urn.kb.se/re...
-
visa färre...
Abstract
Ämnesord
Stäng
- One of the difficulties of using AI planners in industrial applications pertains to the complexity of writing planning domain models. These models are typically constructed by domain planning experts and can become increasingly difficult to codify for large applications. In this paper, we describe our ongoing research on a novel approach to automatically learn planning domains from previously executed traces using Behavior Trees as an intermediate human-readable structure. By involving human planning experts in the learning phase, our approach can benefit from their validation. This paper outlines the initial steps we have taken in this research, and presents the challenges we face in the future.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)