{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:36:16Z","timestamp":1723016176876},"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":[[2023,8]]},"abstract":"<jats:p>Ostrom's Institutional Analysis and Development (IAD) framework represents a comprehensive theoretical effort to identify and outline the variables that determine the outcome in any social interaction. Taking inspiration from it, we define the Action Situation Language (ASL), a machine-readable logical language to express the components of a multiagent interaction, with a special focus on the rules adopted by the community. The ASL is complemented by a game engine that takes an interaction description as input and automatically grounds its semantics as an Extensive-Form Game (EFG), which can be readily analysed using standard game-theoretical solution concepts. Overall, our model allows a community of agents to perform what-if analysis on a set of rules being considered for adoption, by automatically connecting rule configurations to the outcomes they incentivize.<\/jats:p>","DOI":"10.24963\/ijcai.2023\/786","type":"proceedings-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T08:31:30Z","timestamp":1691742690000},"page":"6937-6941","source":"Crossref","is-referenced-by-count":0,"title":["A Computational Model of Ostrom's Institutional Analysis and Development Framework (Extended Abstract)"],"prefix":"10.24963","author":[{"given":"Nieves","family":"Montes","sequence":"first","affiliation":[{"name":"Artificial Intelligence Research Institute (IIIA-CSIC)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nardine","family":"Osman","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Institute (IIIA-CSIC)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carles","family":"Sierra","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Institute (IIIA-CSIC)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"32","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2023","name":"Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}","start":{"date-parts":[[2023,8,19]]},"theme":"Artificial Intelligence","location":"Macau, SAR China","end":{"date-parts":[[2023,8,25]]}},"container-title":["Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T08:56:08Z","timestamp":1691744168000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2023\/786"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2023\/786","relation":{},"subject":[],"published":{"date-parts":[[2023,8]]}}}