Complexity and Ecosystem Management: The Theory and Practice of Multi-agent Systems (Google eBook)
Edward Elgar Publishing, Jan 1, 2002 - Business & Economics - 344 pages
The quality of ecosystems is affected by the actions of different stakeholders who use them in a variety of ways. In order to understand this complex relationship between humans and nature, it is vital to understand the complexity of the interacting agent
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Agenda agent-based model agents aggregated agricultural agro-ecosystem Allier allows analysis approach average behavior biomass cells chapter cognitive common-pool resource complex adaptive systems consumat costs cotton crop decision defined developed discussion dynamics ecological economic land rent ecosystem management effect emergent empirical environment evaluation evolution example experiments exploration factor farmers Figure forest framework function game theory grass grazing heterogeneity Homo economicus households immune system impact income increase Indiana individual initial institutions interactions investment jecha labor land-use landscape livestock density maize Masoka mean multi-agent models multi-agent system models multi-agent systems Nash equilibrium observed organic farming Ostrom outcomes paddock parameter patterns players population pre-Agenda prediction problems production rainfall rangeland region rental prices represent resilience risk aversion riverland role game rules scenarios sheep simulation slope sorghum spatial specific stakeholders strategy structure tokens types understanding utility validation values variables waterpoint yields
Page 317 - Bian, L. (1997) Multiscale nature of spatial data in scaling up environmental models, in DA Quattrochi and MF Goodchild (eds) Scale in Remote Sensing and GIS, Raton Lewis Publishers, Boca Raton, FL, 13-26.