Simple models with different types of complexity (1.0.0)
Hierarchical problem-solving model The model simulates a hierarchical problem-solving process in which a manager delegates parts of a problem to specialists, who attempt to solve specific aspects based on their unique skills. The goal is to examine how effectively the hierarchical structure works in solving the problem, the total cost of the process, and the resulting solution quality.
Problem-solving random network model The model simulates a network of agents (generalists) who collaboratively solve a fixed problem by iterating over it and using their individual skills to reduce the problem’s complexity. The goal is to study the dynamics of the problem-solving process, including agent interactions, work cycles, total cost, and solution quality.
Release Notes
First versions (17 September 2024) Hierarchy v0_1 Network v1_4
Associated Publications
This is a companion discussion topic for the original entry at https://www.comses.net/codebases/68b87f5e-582b-481e-bff9-c7f3be36ad6e/releases/1.0.0