Abstract
Every model involves assumptions. While some are standard to all models that simulate intelligent decision-making (e.g., discrete/continuous, static/dynamic), goal recognition is well known also to involve choices about the observed agent: is it aware of being observed? cooperative or adversarial? In this paper, we examine not only these but the many other assumptions made in the context of model-based goal recognition. By exploring their meaning, the relationships between them and the confusions that can arise, we demonstrate their importance, shed light on the way trends emerge in AI, and suggest a novel means for researchers to uncover suitable avenues for future work.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence |
| Editors | Zhi-Hua Zhou |
| Place of Publication | Marina del Rey CA USA |
| Publisher | Association for the Advancement of Artificial Intelligence (AAAI) |
| Pages | 4516-4523 |
| Number of pages | 8 |
| ISBN (Electronic) | 9780999241196 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | International Joint Conference on Artificial Intelligence 2021 - Virtual, Montreal, Canada Duration: 19 Aug 2021 → 27 Aug 2021 Conference number: 30th https://www.ijcai.org/proceedings/2021/ (Proceedings) https://ijcai-21.org (Website) |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| Publisher | Association for the Advancement of Artificial Intelligence (AAAI) |
| ISSN (Print) | 1045-0823 |
Conference
| Conference | International Joint Conference on Artificial Intelligence 2021 |
|---|---|
| Abbreviated title | IJCAI 2021 |
| Country/Territory | Canada |
| City | Montreal |
| Period | 19/08/21 → 27/08/21 |
| Internet address |
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Keywords
- Goal Recognition
- Agent-based and multi-agent based systems
- General Humans and AI
- General Planning and scheduling
- General