Landmark-based approaches for goal recognition as planning
- Submitting institution
-
University of Aberdeen
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 149736964
- Type
- D - Journal article
- DOI
-
10.1016/j.artint.2019.103217
- Title of journal
- Artificial Intelligence
- Article number
- 103217
- First page
- -
- Volume
- 279
- Issue
- -
- ISSN
- 0004-3702
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper builds on and extends our novel landmark based plan-recognition heuristics from previous work (described in a highly cited AAAI conference paper) by integrating planning based heuristics to create the first plan recognition system to use a landmark/planning based approach for goal recognition. We describing the formalism and the theory behind it, and carry out a very detailed empirical evaluation of the technique, demonstrating effectiveness greatly beyond the previous state of the art. The approach is widely applicable in domains ranging from robotics to open systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
