A Prototype Agent-Based Model for Policy Evaluation in Hawaii's Longline Fishery

Several fleet dynamics models have been developed in the past three decades to evaluate the effects of various management policies on the fleet economics of Hawaii's longline fishery, spatially and temporally. These models used mathematical programming as the primary modeling framework. A common characteristic of the models is that they all treated the individual vessels of the longline fleet as homogeneous. The PIFSC Economics Program has provided a grant to University of Hawaii researchers to apply the innovative Agent Based Model (ABM) methodology to model the individual agent behavior and behavioral interactions among the relevant agents in a commercial fishery. The model will be used to analyze the potential impacts of fishery policies under a dynamic environment.

Publications

Yu R, Railsback S, Sheppard C, Leung P
2013. Agent-Based Management Model of Hawaii's Longline Fisheries (FMMHLF): Model Description and Software Guide. SOEST Publication 13-01, JIMAR Contribution 13-383, 60 p.