Automated extension of narrative planning domains with antonymic operators
- Submitting institution
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University of Greenwich
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 19962
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS '15)
- First page
- 1547
- Volume
- 0
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- -
- Year of publication
- 2015
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Narrative generation has become a new application for AI Planning, which has featured regularly at conferences such as AAMAS, IJCAI and AAAI. However, its bottleneck is the definition of alternative planning operators supporting the generation of multiple solutions, in a principled fashion. This paper presents a formal mechanism for the automatic definition of alternative PDDL operators based on a transition model of pre and post-conditions, also leveraging linguistic resources to ensure human-readability of the machine-generated operators. The acceptance rate for full papers at AAMAS 2015 was 24% for the paper’s track.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
