Agent-based modeling and genetic programming for modeling land change in the Southern Yucatan Peninsular Region of Mexico

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Manson:2005:AEE,
  author =       "Steven M. Manson",
  title =        "Agent-based modeling and genetic programming for
                 modeling land change in the Southern Yucatan Peninsular
                 Region of Mexico",
  journal =      "Agriculture, Ecosystems and Environment",
  year =         "2005",
  volume =       "111",
  number =       "1-4",
  pages =        "47--62",
  month =        "1 " # dec,
  keywords =     "genetic algorithms, genetic programming, Agent-based
                 model, Genetic program, Land-use and land-cover change,
                 Multicriteria evaluation, Symbolic regression",
  DOI =          "doi:10.1016/j.agee.2005.04.024",
  abstract =     "Land-use and land-cover change research increasingly
                 takes the form of integrated land-change science, the
                 explicit joining of ecological, social and information
                 sciences. Traditional interdisciplinary methods are
                 buttressed by new ones stemming from computational
                 intelligence research and the complexity sciences.
                 Several of these genetic programming, cellular
                 modelling and agent-based modeling are applied to land
                 change in the Southern Yucatan Peninsular Region (SYPR)
                 of Mexico through the SYPR Integrated Assessment
                 (SYPRIA). This work illustrates how computational
                 intelligence techniques, such as genetic programming,
                 can be used to model decision making in the context of
                 human environment relationships. This application also
                 contributes to methodological innovations in
                 multicriteria evaluation and modeling of coupled human
                 environment systems. This effort also demonstrates the
                 importance of considering both social and environmental
                 drivers of land change, particularly with respect to
                 the decision making of change agents within the context
                 of key socioeconomic and political drivers,
                 particularly as channelled through market institutions
                 and land tenure, and ecological factors, especially
                 characteristics of land-use and land-cover such as
                 state, history and fragmentation. SYPRIA demonstrates
                 the utility of modelling methods based in computational
                 intelligence and the complexity sciences in helping
                 understand the decision making of land-change agents as
                 a function of both social and environment drivers.",
}

Genetic Programming entries for Steven M Manson

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