3/31/2024 0 Comments Anylogic agent number![]() We expected that increasing the social and geographic distribution of agents and the diversity of their preconceptions would have a significant impact on agent consensus about which situations to change and which ones not to change. The three factors included 1) the social and geographic distribution of agents (local, regional, international levels), 2) abundance of agents (low, medium, high levels), and 3) diversity of preconceptions (blank slate, clone, social actor levels). We used a factorial research design to vary three interdependent factors each with three different levels. Geographically-distributed agents interacted through an online platform similar to that used in online field experiments with actual human subjects. As opposed to studying self-organizing behavior at the scale of a local 'commons', our interest was in how online technology supports the self-organizing behavior of agents distributed over a wide regional area, like a watershed or river basin. ![]() The goal of the simulation was for agents to reach consensus about which situations in their regional environment to change and which ones not to change as part of a geodesign process for improving water quality in the greater Puget Sound region. Agents were modeled as socially intelligent actors who communicate using a system of symbols. ![]() ![]() This article reports on an agent-based simulation of public participation in decision making about sustainability management. ![]()
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