Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments
- Submitting institution
-
University of Aberdeen
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 148674274
- Type
- D - Journal article
- DOI
-
10.1145/3372119
- Title of journal
- ACM Transactions on Intelligent Systems and Technology
- Article number
- 23
- First page
- -
- Volume
- 11
- Issue
- 2
- ISSN
- 2157-6904
- Open access status
- Not compliant
- Month of publication
- January
- Year of publication
- 2020
- 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
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Providing additional context, including a detailed empirical evaluation and formalisation of work first presented at AAMAS and AAAI (both prestigious international venues), we use landmarks to detect when an agent abandons a plan. This work is the first to formalise the problem, highlight its importance, suggest and evaluate a solution, and the problem itself is relevant to a wide swathe of open multi-agent systems where agents must coordinate action. The novelty of the work has been recognised as multiple research groups are using this research within their work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
