Agent-based modelling & system dynamics with netlogo

The goal is to develop and simulate an Agent-Based Model that comprises of a Laptop Trading Ecosystem in a city within Russia considering the preferences of potential customers. Each store specializes in only one of these three (3) brands of laptops namely: Lenovo, HP, and Apple. The brands determine the price range of each laptop. At initialization of the simulation, these stores are randomly positioned across the city, assigned a random distribution of laptop brands as well as a random distribution of laptops (from the minimum (1) to the maximum (50)). Thus, every purchase by a customer is deducted from the total number of laptops in stock and the money paid by the client is added to the Store’s Sales Income. The maximum range of laptops can be adjusted based on simulation preferences/instructions. Each customer can be divided into any of these three income classes (“low”, “middle”, and “upper”) and has a wallet which as randomly assigned (uniform random distribution) amount of money. Note that, Customer preference is not correlated with their income, therefore a customer can be within the low income range but may desire an Apple laptop. During simulation, each customer visits a Business/Store and has the prerogative of buying a laptop if it falls within their price range (wallet) and their preference. After purchasing the laptop, the price of the laptop is deducted from the customer’s wallet.

• Outline your Entities and state variables of your model in a table with the ODD (Overview, Design concepts, Details) protocol
• Outline your agents’ interactions in the form of a flowchart - Provide the Code and Screenshots of your simulation.
• Indicate the following in monitors (Run a simulation for 1 year; 20 stores; 60 customers):

o Average Customer Wallet according to the respective Income Classes – Lower, Middle, Upper

o Average Price of each Product - LENOVO, HP, APPLE

o Average Business/Store Sales of each individual product - LENOVO, HP, APPLE

o Average Total Sales for All Stores.

o Total Number of Customers that bought laptops (Buyers)

o Total Number of Customers that bought nothing (Non-Buyers