dc.contributor.author |
Smajgl, Alexander |
en_US |
dc.date.accessioned |
2009-07-31T15:01:42Z |
|
dc.date.available |
2009-07-31T15:01:42Z |
|
dc.date.issued |
2007 |
en_US |
dc.date.submitted |
2008-12-18 |
en_US |
dc.date.submitted |
2008-12-18 |
en_US |
dc.identifier.uri |
https://hdl.handle.net/10535/3485 |
|
dc.description.abstract |
"Institutional arrangements are key drivers of the use of common-pool resources (CPR). The analysis of existing arrangements requires a framework that allows research to describe a case study systematically and diagnose the institutional setting. Based on a sound understanding of current institutions the question of what effects alternate arrangements would have becomes evident. This step requires a predictive model, which can either be qualitative or, preferably, analyses an empirical case quantitatively. A major conceptual challenge of a quantitative model is the evolution of rules, which define the boundaries for the agents to choose strategies. This paper develops the conceptual foundations for such a modelling approach and an agent-based model for the analysis of institutional arrangements in a CPR setting." |
en_US |
dc.subject |
common pool resources--models |
en_US |
dc.subject |
institutional analysis--models |
en_US |
dc.subject |
agent-based computational economics |
en_US |
dc.subject |
simulations--models |
en_US |
dc.title |
Modelling Evolving Rules for the Use of Common-Pool Resources in an Agent-Based Model |
en_US |
dc.type |
Journal Article |
en_US |
dc.type.published |
published |
en_US |
dc.subject.sector |
Theory |
en_US |
dc.identifier.citationjournal |
Interdisciplinary Description of Complex Systems |
en_US |
dc.identifier.citationvolume |
5 |
en_US |
dc.identifier.citationnumber |
2 |
en_US |
dc.identifier.citationmonth |
January |
en_US |
dc.submitter.email |
efcastle@indiana.edu |
en_US |