Consensus in opinion dynamics as a repeated game
We study an n-agent averaging process with dynamics subject to controls and adversarial disturbances. The model arises in multi-population opinion dynamics with macroscopic and microscopic intertwined dynamics. The averaging process describes the in uence from neighbouring populations, whereas the i...
| Main Authors: | , |
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| Format: | Journal article |
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Elsevier
2018
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| _version_ | 1797065985534984192 |
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| author | Bauso, D Cannon, M |
| author_facet | Bauso, D Cannon, M |
| author_sort | Bauso, D |
| collection | OXFORD |
| description | We study an n-agent averaging process with dynamics subject to controls and adversarial disturbances. The model arises in multi-population opinion dynamics with macroscopic and microscopic intertwined dynamics. The averaging process describes the in uence from neighbouring populations, whereas the input term indicates how the distribution of opinions in the population changes as a result of dynamical evolutions at a microscopic level (individuals' changing opinions). The input term is obtained as the vector payoff of a two player repeated game. We study conditions under which the agents achieve robust consensus to some predefined target set. Such conditions build upon the approachability principle in repeated games with vector payoffs. |
| first_indexed | 2024-03-06T21:36:00Z |
| format | Journal article |
| id | oxford-uuid:464a519d-db4f-450e-b936-f55baa4a3861 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T21:36:00Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:464a519d-db4f-450e-b936-f55baa4a38612022-03-26T15:12:49ZConsensus in opinion dynamics as a repeated gameJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:464a519d-db4f-450e-b936-f55baa4a3861Symplectic Elements at OxfordElsevier2018Bauso, DCannon, MWe study an n-agent averaging process with dynamics subject to controls and adversarial disturbances. The model arises in multi-population opinion dynamics with macroscopic and microscopic intertwined dynamics. The averaging process describes the in uence from neighbouring populations, whereas the input term indicates how the distribution of opinions in the population changes as a result of dynamical evolutions at a microscopic level (individuals' changing opinions). The input term is obtained as the vector payoff of a two player repeated game. We study conditions under which the agents achieve robust consensus to some predefined target set. Such conditions build upon the approachability principle in repeated games with vector payoffs. |
| spellingShingle | Bauso, D Cannon, M Consensus in opinion dynamics as a repeated game |
| title | Consensus in opinion dynamics as a repeated game |
| title_full | Consensus in opinion dynamics as a repeated game |
| title_fullStr | Consensus in opinion dynamics as a repeated game |
| title_full_unstemmed | Consensus in opinion dynamics as a repeated game |
| title_short | Consensus in opinion dynamics as a repeated game |
| title_sort | consensus in opinion dynamics as a repeated game |
| work_keys_str_mv | AT bausod consensusinopiniondynamicsasarepeatedgame AT cannonm consensusinopiniondynamicsasarepeatedgame |