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Abstract
In this seminar I’d like to present our work on building a generic agent-based model for fisheries management. First I’d like to focus on why an agent-based approach is appropriate for the problem (feedbacks, heterogeneity, availability of micro-data, non-stationarity and bounded rationality) and how to go from a complicated simulation model to policy suggestions. Second I will present our work and results in applying the model to a data-rich scenario (the US West Coast Groundfish Fishery). Finally I’d like to draw out lessons from our work that can be used for other (non-fisheries) agent-based models and computer simulations more generally, particularly regarding parameter estimation and implementing bounded rationality
