Analysis and Interventions in Large Network Games
<jats:p> We review classic results and recent progress on equilibrium analysis, dynamics, and optimal interventions in network games with both continuous and discrete strategy sets. We study strategic interactions in deterministic networks as well as networks generated from a stochastic networ...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Annual Reviews
2022
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| Online Access: | https://hdl.handle.net/1721.1/143827 |
| _version_ | 1826210400183517184 |
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| author | Parise, Francesca Ozdaglar, Asuman |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Parise, Francesca Ozdaglar, Asuman |
| author_sort | Parise, Francesca |
| collection | MIT |
| description | <jats:p> We review classic results and recent progress on equilibrium analysis, dynamics, and optimal interventions in network games with both continuous and discrete strategy sets. We study strategic interactions in deterministic networks as well as networks generated from a stochastic network formation model. For the former case, we review a unifying framework for analysis based on the theory of variational inequalities. For the latter case, we highlight how knowledge of the stochastic network formation model can be used by a central planner to design interventions for large networks in a computationally efficient manner when exact network data are not available. </jats:p> |
| first_indexed | 2024-09-23T14:49:12Z |
| format | Article |
| id | mit-1721.1/143827 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:49:12Z |
| publishDate | 2022 |
| publisher | Annual Reviews |
| record_format | dspace |
| spelling | mit-1721.1/1438272023-04-20T19:32:38Z Analysis and Interventions in Large Network Games Parise, Francesca Ozdaglar, Asuman Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science <jats:p> We review classic results and recent progress on equilibrium analysis, dynamics, and optimal interventions in network games with both continuous and discrete strategy sets. We study strategic interactions in deterministic networks as well as networks generated from a stochastic network formation model. For the former case, we review a unifying framework for analysis based on the theory of variational inequalities. For the latter case, we highlight how knowledge of the stochastic network formation model can be used by a central planner to design interventions for large networks in a computationally efficient manner when exact network data are not available. </jats:p> 2022-07-18T17:39:38Z 2022-07-18T17:39:38Z 2021-05-03 2022-07-18T17:07:27Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/143827 Parise, Francesca and Ozdaglar, Asuman. 2021. "Analysis and Interventions in Large Network Games." Annual Review of Control, Robotics, and Autonomous Systems, 4 (1). en 10.1146/annurev-control-072020-084434 Annual Review of Control, Robotics, and Autonomous Systems Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Annual Reviews SSRN |
| spellingShingle | Parise, Francesca Ozdaglar, Asuman Analysis and Interventions in Large Network Games |
| title | Analysis and Interventions in Large Network Games |
| title_full | Analysis and Interventions in Large Network Games |
| title_fullStr | Analysis and Interventions in Large Network Games |
| title_full_unstemmed | Analysis and Interventions in Large Network Games |
| title_short | Analysis and Interventions in Large Network Games |
| title_sort | analysis and interventions in large network games |
| url | https://hdl.handle.net/1721.1/143827 |
| work_keys_str_mv | AT parisefrancesca analysisandinterventionsinlargenetworkgames AT ozdaglarasuman analysisandinterventionsinlargenetworkgames |