An adaptive agent model for analysing co-evolution of management and policies in a complex rangeland system
Marco A. Janssen,
Brian H. Walker and
Jenny Langridge
Additional contact information
Marco A. Janssen: Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics
No 53, Serie Research Memoranda from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics
Abstract:
This paper describes an adaptive agent model of rangelands based on concepts of complex adaptive systems. The behavioural and biological processes of pastoralists, regulators, livestock, grass and shrubs are modelled as well as the interactions between these components. The evolution of the rangeland system is studied under different policy and institutional regimes that affect the behaviour and learning of pastoralists, and hence the state of the ecological system. Adaptive agent models show that effective learning and effective ecosystem management do not necessarily coincide and can suggest potentially useful alternatives to the design of policies and institutions.
Keywords: Complex Adaptive Systems; Ecosystem Management; Rangelands; adaptive agents (search for similar items in EconPapers)
JEL-codes: Q15 Q24 (search for similar items in EconPapers)
Date: 1999
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://degree.ubvu.vu.nl/repec/vua/wpaper/pdf/19990053.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vua:wpaper:1999-53
Access Statistics for this paper
More papers in Serie Research Memoranda from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics Contact information at EDIRC.
Bibliographic data for series maintained by R. Dam ().