Managing different sources of uncertainty in a BDI framework in a principled way with tractable fragments
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 889914
- Type
- D - Journal article
- DOI
-
10.1613/jair.5287
- Title of journal
- Journal of Artificial Intelligence Research
- Article number
- -
- First page
- 731
- Volume
- 58
- Issue
- -
- ISSN
- 1076-9757
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1613/jair.5287
- 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
-
5
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Extensively extended from an UAI'14 paper, this paper is the first in the literature on modelling an agent's heterogeneous beliefs using a novel global uncertain belief representation framework, which can be instantiated with different uncertainty modelling theories. A novel method for revising an agent's localised belief bases based on an uncertain input that may be relevant to multiple heterogeneous belief items was developed, with strong impact on research and development of intelligent autonomous systems. It is a main outcome of an EPSRC funded project, with international collaboration, and contributes to a core theme of the £5M EPSRC funded CSIT-2 project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
