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DTSTART:20251102T020000
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DESCRIPTION:February Institutional Grammar Research Initiative (IGRI) Resea
 rch Seminar&nbsp\;Speaker: Nieves Montes\, Artificial Intelligence Researc
 h Centre - Spanish National Research Council&nbsp\;Abstract:&nbsp\;The Ins
 titutional Analysis and Development (IAD) framework developed by Elinor Os
 trom and colleagues provides great conceptual clarity on the immensely var
 ied topic of social interactions. In this work\, we propose a computationa
 l model to examine the impact that any of the variables outlined in the IA
 D framework has on the resulting social interactions. Of particular intere
 st are the rules adopted by a community of agents\, as they are the variab
 les most susceptible to change in the short term. To provide systematic de
 scriptions of social interactions\, we define the Action Situation Languag
 e (ASL) and provide a game engine capable of automatically generating form
 al game-theoretical models out of ASL descriptions. Then\, by incorporatin
 g any agent decision-making models\, the connection from a rule configurat
 ion description to the outcomes encouraged by it is complete. Overall\, ou
 r model enables any community of agents to perform&nbsp\;what-if&nbsp\;ana
 lysis\, where they can foresee and examine the impact that a set of regula
 tions will have on the social interaction they are engaging in. Hence\, th
 ey can decide whether their implementation is desirable.
DTEND:20230207T180000Z
DTSTAMP:20260512T014103Z
DTSTART:20230207T170000Z
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SEQUENCE:0
SUMMARY:A computational model of Ostrom's Institutional Analysis and Develo
 pment framework
UID:RFCALITEM639141324635252129
X-ALT-DESC;FMTTYPE=text/html:<p>February Institutional Grammar Research Ini
 tiative (IGRI) Research Seminar</p><p>&nbsp\;</p><p>Speaker: Nieves Montes
 \, Artificial Intelligence Research Centre - Spanish National Research Cou
 ncil</p><p>&nbsp\;</p><p>Abstract:&nbsp\;The Institutional Analysis and De
 velopment (IAD) framework developed by Elinor Ostrom and colleagues provid
 es great conceptual clarity on the immensely varied topic of social intera
 ctions. In this work\, we propose a computational model to examine the imp
 act that any of the variables outlined in the IAD framework has on the res
 ulting social interactions. Of particular interest are the rules adopted b
 y a community of agents\, as they are the variables most susceptible to ch
 ange in the short term. To provide systematic descriptions of social inter
 actions\, 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-makin
 g models\, the connection from a rule configuration description to the out
 comes encouraged by it is complete. Overall\, our model enables any commun
 ity of agents to perform&nbsp\;<em>what-if</em>&nbsp\;analysis\, where the
 y can foresee and examine the impact that a set of regulations will have o
 n the social interaction they are engaging in. Hence\, they can decide whe
 ther their implementation is desirable.</p>
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