Abstract
In Boolean games, each agent controls a set of Boolean variables and has a goal represented by a propositional formula. We study inference problems in Boolean games assuming the presence of a PRINCIPAL who has the ability to control the agents and impose taxation schemes. Previous work used taxation schemes to guide a game towards certain equilibria. We present algorithms that show how taxation schemes can also be used to infer agents' goals. We present experimental results to demonstrate the efficacy our algorithms. We also consider goal inference when only limited information is available in response to a query.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 |
| Editors | Christian Bessiere |
| Publisher | International Joint Conferences on Artificial Intelligence |
| Pages | 1585-1591 |
| Number of pages | 7 |
| ISBN (Electronic) | 9780999241165 |
| State | Published - 2020 |
| Event | 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 - Yokohama, Japan Duration: 1 Jan 2021 → … |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| Volume | 2021-January |
| ISSN (Print) | 1045-0823 |
Conference
| Conference | 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 |
|---|---|
| Country/Territory | Japan |
| City | Yokohama |
| Period | 1/01/21 → … |
Bibliographical note
Publisher Copyright:© 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.
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