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 |
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Title of host publication | Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 |
Editors | Zhi-Hua Zhou |
Publisher | International Joint Conferences on Artificial Intelligence |
Pages | 4516-4523 |
Number of pages | 8 |
ISBN (Electronic) | 9780999241196 |
DOIs | |
State | Published - 2021 |
Externally published | Yes |
Event | 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 - Virtual, Online, Canada Duration: 19 Aug 2021 → 27 Aug 2021 |
Publication series
Name | IJCAI International Joint Conference on Artificial Intelligence |
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ISSN (Print) | 1045-0823 |
Conference
Conference | 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 |
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Country/Territory | Canada |
City | Virtual, Online |
Period | 19/08/21 → 27/08/21 |
Bibliographical note
Publisher Copyright:© 2021 International Joint Conferences on Artificial Intelligence. All rights reserved.
Funding
We thank Miquel Ramirez and our anonymous reviewers for their comments and suggestions. The first author was supported by grant DP180101215 from the Australian Research Council.
Funders | Funder number |
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Australian Research Council |