Action-level intention selection for BDI agents
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1334772
- Type
- E - Conference contribution
- DOI
-
10.5555/2936924.2937103
- Title of conference / published proceedings
- AAMAS '16: International Conference on Agents and Multiagent Systems
- First page
- 1227
- Volume
- 2016-May
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- 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
-
1
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In many application domains, an autonomous agent must pursue multiple goals in parallel. Previous approaches to avoiding conflicts between plans for different goals required scheduling plans as atomic units. This paper presents the first approach capable of interleaving steps in plans for different goals. We demonstrate that the approach reduces the number of execution conflicts when compared to previous approaches commonly used in agent programming, resulting in an increase the number of goals achieved by the agent.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
