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The Effect of Individual and Collective Characteristics on Team Performance: A Model of Networked Agents Engaged in Collective Problem Solving

The Effect of Individual and Collective Characteristics on Team Performance: A Model of Networked Agents Engaged in Collective Problem Solving (version 1.2.0)

This code is for an agent-based model of collective problem solving in which agents with different behavior strategies, explore the NK landscape while they communicate with their peers agents. This model is based on the famous work of Lazer, D., & Friedman, A. (2007), The network structure of exploration and exploitation.

Release Notes

Read me file for the netlogo code Resarch Title: The effect of team members’ behaviour on the performance of team’s collective problem solving Author: Amin Boroomand Version 2.0 date: 04/22/2020

Quick breakdown of code sections based on order of appearance on the code file:

Definitions: Global variables Agents and its properties

Setup function: It is hit when we press set up. It runs the following functions: Define-allele-values: Set-interdepenencies Spawn-turtle Wire-ringlat Run_step: this function does the exploration and exploitation for each agent in each tick Exploitation: fiDefinitionsrst it checks if any of the neighbor agents of any of them have a better solution. If so, it adops the better solution, otherwise it moves to to exploration Exploration: depending on the type of the agent, the exploration behavior is defined.

Note: run_step function uses to functions:
    Explore: this function randomly changes one of bites of the solution and returns a proposed new solution. It does not automatically update the agent’ current solution. 
    Evaluate: this function calculates the score associated to each solution

The rest of the functions are used to define the space and in the functions inside the setup function


This is a companion discussion topic for the original entry at https://www.comses.net/codebases/4ff8683a-50e0-4c05-bda0-0c69f1dd63f9/releases/1.2.0/