Integrates game theory and ecological theory to construct social-ecological models that simulate the management of populations and stakeholder actions. These models build off of a previously developed management strategy evaluation (MSE) framework to simulate all aspects of management: population dynamics, manager observation of populations, manager decision making, and stakeholder responses to management decisions. The newly developed generalised management strategy evaluation (GMSE) framework uses genetic algorithms to mimic the decision-making process of managers and stakeholders under conditions of change, uncertainty, and conflict. Simulations can be run using gmse(), gmse_apply(), and gmse_gui() functions.
|Author||A. Bradley Duthie [aut, cre] (<https://orcid.org/0000-0001-8343-4995>), Adrian Bach [ctb], Nils Bunnefeld [ctb, fnd] (<https://orcid.org/0000-0002-1349-4463>), Jeremy Cusack [ctb] (<https://orcid.org/0000-0003-3004-1586>), Isabel Jones [ctb] (<https://orcid.org/0000-0002-8361-1370>), Jeroen Minderman [ctb] (<https://orcid.org/0000-0002-8451-5540>), Erlend Nilsen [ctb] (<https://orcid.org/0000-0002-5119-8331>), Rocio Pozo [ctb] (<https://orcid.org/0000-0002-7546-8076>), Sarobidy Rakotonarivo [ctb] (<https://orcid.org/0000-0002-8032-1431>), Bram Van Moorter [ctb] (<https://orcid.org/0000-0002-3196-1993>)|
|Maintainer||A. Bradley Duthie <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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