Fuzzy Cognitive Mapping (FCM) Mental Models for Lobster Fishery Agent Based Model (ABM)
NSF NNA Researcher Meeting | 05/01/2025
Jay Kim | Kanae Tokunaga
Lobster Fishery Decision Making
Complex feedback of decision making and human behavior that manifests as fishing effort
Scaled up to # active vessels, per region, per month, over years
Fuzzy Cognitive Mapping (FCM)
Mental Models of lobster fisher decision making concerning lobster fishing
“What are the important factors (variables) that influence the decisions you make when you go fishing (fishing behavior)?”
“What changes (in self or environment) need to happen in order for you to change your behavior (make different decisions)?”
Focus Group and Individual Interviews
Semi-structured, using Mental Modeler
Engagement during
Short-Run Production Model
Long-Run Investment Model
Previous Bioeconomic Models
Holland (2011)
Boenish & Chen (2016)
Wilson, Yan, & Wilson (2007)
Our Production Function Theory
Fishers are maximizing Catch per Trap.
Assuming a Trap Catchability of 1, actual catchability is a function of the Effectiveness of Bait, Quantity of Bait, and Soaktime of Bait
However, Effective Fishing Effort is realized by fishers as # of Traps Fished and Frequency of Trips taken
ie: 3 sets of 200 traps, 3 trips a week
The Fishing Strategy is determined by the type of fisher and their available capital. The fisher optimizes their bait choices for the given soak time determined by their fishing strategy.
Population Dynamics Model
Stock Density, �Center Mass Distance to Shore, Abundance
Fishing Mortality
Dayton & Tokunaga (2023) Latent Fishing Classes
Current and Future Research Objectives
Planned Publications
Planned Products