{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:14:49Z","timestamp":1758672889541,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Launching a new blockchain system or application is frequently facilitated by a so called airdrop, where the system designer chooses a pre-existing set of potentially interested parties and allocates newly minted tokens to them with the expectation that they will participate in the system \u2014 such engagement, especially if it is of significant level \u2014 facilitates the system and raises its value and also the value of its newly minted token, hence benefiting the airdrop recipients. A number of challenging questions befuddle designers in this setting, such as how to choose the set of interested parties and how to allocate tokens to them. To address these considerations we put forward a game theoretic model for such airdrop games. Our model can be used to guide the designer\u2019s choices based on the way the system\u2019s value depends on participation (modeled by a \u201ctechnology function\u201d in our framework) and the costs that participations incurs. We identify both bad and good equilibria and identify the settings and the choices that can be made where the designer can influence the players towards good equilibria in an expedient manner.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/431","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"3874-3882","source":"Crossref","is-referenced-by-count":0,"title":["Airdrop Games"],"prefix":"10.24963","author":[{"given":"Sotiris","family":"Georganas","sequence":"first","affiliation":[{"name":"IOG"},{"name":"City, University of London"}]},{"given":"Aggelos","family":"Kiayias","sequence":"additional","affiliation":[{"name":"University of Edinburgh"},{"name":"IOG"}]},{"given":"Paolo","family":"Penna","sequence":"additional","affiliation":[{"name":"IOG"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:34:00Z","timestamp":1758627240000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/431"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/431","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}