Managing Different Sources of Uncertainty in a BDI Framework in a Principled way with Tractable Fragments
- Submitting institution
-
University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 131541764
- Type
- D - Journal article
- DOI
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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
-
-
- 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)
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A - Artificial Intelligence and Autonomy
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Significantly revised from an UAI’14 paper, research reported is the first on modelling an agent's heterogeneous beliefs using a novel global uncertain belief representation framework, which can simultaneously be instantiated with different uncertainty modelling theories. Coupled with integrated global belief revision theory, the paper impacts on research and development of multi agent-based intelligent systems. A main outcome of PI:Liu:EPSRC EP/J012149/1, £623K, collaborating with international experts and contributing to a core theme of EPSRC EP/N508664/1, £5m Centre for Secure Information Technologies. The key concepts underpinned the research and tools in subsequent EU H2020 project DEVELOP (PI:Liu:No.688127, £320K).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
