Modelling Evolving Rules for the Use of Common-pool Resources in an Agent-based Model

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...

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Main Author: Alexander Smajgl
Format: Article
Language:English
Published: Croatian Interdisciplinary Society 2007-10-01
Series:Interdisciplinary Description of Complex Systems
Subjects:
Online Access:http://indecs.eu/2007/indecs2007-pp56-80.pdf
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spelling doaj-931d0f5285ae48a79ea87f76d6de23762020-11-24T23:38:53ZengCroatian Interdisciplinary SocietyInterdisciplinary Description of Complex Systems1334-46841334-46762007-10-01525680Modelling Evolving Rules for the Use of Common-pool Resources in an Agent-based ModelAlexander SmajglInstitutional 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.http://indecs.eu/2007/indecs2007-pp56-80.pdfmulti-agent simulationagent-based modellinginstitutional arrangementscommon-pool resources
collection DOAJ
language English
format Article
sources DOAJ
author Alexander Smajgl
spellingShingle Alexander Smajgl
Modelling Evolving Rules for the Use of Common-pool Resources in an Agent-based Model
Interdisciplinary Description of Complex Systems
multi-agent simulation
agent-based modelling
institutional arrangements
common-pool resources
author_facet Alexander Smajgl
author_sort Alexander Smajgl
title Modelling Evolving Rules for the Use of Common-pool Resources in an Agent-based Model
title_short Modelling Evolving Rules for the Use of Common-pool Resources in an Agent-based Model
title_full Modelling Evolving Rules for the Use of Common-pool Resources in an Agent-based Model
title_fullStr Modelling Evolving Rules for the Use of Common-pool Resources in an Agent-based Model
title_full_unstemmed Modelling Evolving Rules for the Use of Common-pool Resources in an Agent-based Model
title_sort modelling evolving rules for the use of common-pool resources in an agent-based model
publisher Croatian Interdisciplinary Society
series Interdisciplinary Description of Complex Systems
issn 1334-4684
1334-4676
publishDate 2007-10-01
description 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.
topic multi-agent simulation
agent-based modelling
institutional arrangements
common-pool resources
url http://indecs.eu/2007/indecs2007-pp56-80.pdf
work_keys_str_mv AT alexandersmajgl modellingevolvingrulesfortheuseofcommonpoolresourcesinanagentbasedmodel
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