BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Syracuse University Events - ECPv6.0.12//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://calendar.syracuse.edu X-WR-CALDESC:Events calendar for the Syracuse University community REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20230207T120000 DTEND;TZID=America/New_York:20230207T130000 DTSTAMP:20240328T141041 CREATED:20230110T190816Z LAST-MODIFIED:20230119T205026Z UID:87478-1675771200-1675774800@calendar.syracuse.edu SUMMARY:A computational model of Ostrom's Institutional Analysis and Development framework DESCRIPTION:February Institutional Grammar Research Initiative (IGRI) Research Seminar \n  \nSpeaker: Nieves Montes\, Artificial Intelligence Research Centre – Spanish National Research Council \n  \nAbstract: The Institutional Analysis and Development (IAD) framework developed by Elinor Ostrom and colleagues provides great conceptual clarity on the immensely varied topic of social interactions. In this work\, we propose a computational model to examine the impact that any of the variables outlined in the IAD framework has on the resulting social interactions. Of particular interest are the rules adopted by a community of agents\, as they are the variables most susceptible to change in the short term. To provide systematic descriptions of social interactions\, we define the Action Situation Language (ASL) and provide a game engine capable of automatically generating formal game-theoretical models out of ASL descriptions. Then\, by incorporating any agent decision-making models\, the connection from a rule configuration description to the outcomes encouraged by it is complete. Overall\, our model enables any community of agents to perform what-if analysis\, where they can foresee and examine the impact that a set of regulations will have on the social interaction they are engaging in. Hence\, they can decide whether their implementation is desirable. URL:https://calendar.syracuse.edu/events/2023-feb-07/a-computational-model-of-ostroms-institutional-analysis-and-development-framework/ CATEGORIES:Social Science and Public Policy ORGANIZER;CN="MAX-Center for Policy Design and Governance":MAILTO:ssiddiki@syr.edu END:VEVENT END:VCALENDAR