Belief and Truth in Hypothesised Behaviours
- Submitting institution
-
University of Edinburgh
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 58569338
- Type
- D - Journal article
- DOI
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10.1016/j.artint.2016.02.004
- Title of journal
- Artificial Intelligence
- Article number
- -
- First page
- 63
- Volume
- 235
- Issue
- -
- ISSN
- 0004-3702
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- 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)
-
B - Data Science and Artificial Intelligence
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents a novel method for multi-agent interaction including rigorous formal analyses and empirical evaluations. Method is original synthesis of Bellman optimality and Bayesian Nash equilibrium concepts, and work is first to provide formal and empirical analyses of convergence, optimality, prior beliefs. Published in the leading international journal for AI research. Has become standard reference in research on ad-hoc multi-agent coordination, e.g. see AIJ journal special issue on “Multiagent Interaction without Prior Coordination”. Collective body of work also presented in tutorial “Type-Based Methods for Interaction in Multiagent Systems” at AAAI 2016 conference (major international AI conference).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -