Abstract
Narrative planning algorithms coordinate the virtual agents of interactive environments. Sabre is a single, centralized, omniscient decision maker that solves a multi-agent problem. It has a system level author goal it must achieve, but every action taken by an agent must make sense according to that agent's individual intentions and limited, possibly wrong beliefs. We describe our motivation for solving such problems and the difficulties of comparing our planner to existing systems.
| Original language | English |
|---|---|
| Title of host publication | 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 |
| Pages | 1686-1688 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781713832621 |
| State | Published - 2021 |
| Event | 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 - Virtual, Online Duration: May 3 2021 → May 7 2021 |
Publication series
| Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
|---|---|
| Volume | 3 |
| ISSN (Print) | 1548-8403 |
| ISSN (Electronic) | 1558-2914 |
Conference
| Conference | 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 |
|---|---|
| City | Virtual, Online |
| Period | 5/3/21 → 5/7/21 |
Bibliographical note
Publisher Copyright:© 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Funding
This work was supported by the U.S. National Science Foundation under Grant No. IIS-1911053. Opinions, findings, and conclusions are those of the authors and do not reflect the views of the NSF.
| Funders | Funder number |
|---|---|
| National Science Foundation (NSF) | IIS-1911053 |
Keywords
- Belief
- Intention
- Narrative
- Planning
- Social Simulation
ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Control and Systems Engineering