hidden
Image Database Export Citations

Menu:

Governing Social-Ecological Systems

Show simple item record

dc.contributor.author Janssen, Marco A. en_US
dc.contributor.author Ostrom, Elinor en_US
dc.contributor.author Tesfatsion, L. en_US
dc.contributor.author Judd, K.L. en_US
dc.date.accessioned 2009-07-31T14:24:34Z
dc.date.available 2009-07-31T14:24:34Z
dc.date.issued 2006 en_US
dc.date.submitted 2007-08-09 en_US
dc.date.submitted 2007-08-09 en_US
dc.identifier.uri https://hdl.handle.net/10535/60
dc.description.abstract "Social-ecological systems are complex adaptive systems where social and biophysical agents are interacting at multiple temporal and spatial scales. The main challenge for the study of governance of social-ecological systems is improving our understanding of the conditions under which cooperative solutions are sustained, how social actors can make robust decisions in the face of uncertainty and how the topology of interactions between social and biophysical actors affect governance. We review the contributions of agent-based modeling to these challenges for theoretical studies, studies which combines models with laboratory experiments and applications of practical case studies. "Empirical studies from laboratory experiments and field work have challenged the predictions of the conventional model of the selfish rational agent for common pool resources and public-good games. Agent-based models have been used to test alternative models of decision-making which are more in line with the empirical record. Those models include bounded rationality, other regarding preferences and heterogeneity among the attributes of agents. Uncertainty and incomplete knowledge are directly related to the study of governance of social-ecological systems. Agent-based models have been developed to explore the consequences of incomplete knowledge and to identify adaptive responses that limited the undesirable consequences of uncertainties. Finally, the studies on the topology of agent interactions mainly focus on land use change, in which models of decision-making are combined with geographical information systems. "Conventional approaches in environmental economics do not explicitly include nonconvex dynamics of ecosystems, non-random interactions of agents, incomplete understanding, and empirically based models of behavior in collective action. Although agent-based modeling for social-ecological systems is in its infancy, it addresses the above features explicitly and is therefore potentially useful to address the current challenges in the study of governance of social-ecological systems." en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Handbook of Computational Economics II: Agent-Based Computational Economics en_US
dc.subject agent-based computational economics en_US
dc.subject Workshop en_US
dc.subject socio-economic systems en_US
dc.subject adaptive systems en_US
dc.subject complexity en_US
dc.title Governing Social-Ecological Systems en_US
dc.type Book Chapter en_US
dc.type.published published en_US
dc.subject.sector Social Organization en_US
dc.subject.sector Theory en_US
dc.identifier.citationpages 1465-1509 en_US
dc.identifier.citationpubloc New York en_US
dc.submitter.email efcastle@indiana.edu en_US


Files in this item

Files Size Format View
handbook2006.pdf 356.7Kb PDF View/Open

This item appears in the following document type(s)

Show simple item record