I need a NetLogo simulation to model business goals with moderate complexity. Requirements: - Moderate interactions with some variables - Focus on modeling business goals Netlogo program to simulate shaping company’s results based on one preferred goal selected among ten. The other goals are not to be preferred but still I should be able to indicate the initial value and introduce it to the model. There will be one goal preferred out of ten. But the other nine goals are also taking part in the simulation. It is to discover whether other goals are discriminated after one is chosen. First I will ask AI to recommend me goal that is preferring:
1. Revenue
2. Profit
3. ROI
4. ROA
5. ROE
6. Market share in value
7. Market share in volume
8. Employees wellbeing
9. Sustainable goals
10. Market value
Every goal should be possible to indicate the initial number in any number in the range of (-∞ - +∞) and 2 digits after coma N.NN It should be possible to turn off/on some goals and make simulation of less than 10 goals at the same time. It should be also possible to stop the simulation at 12, 24, 48, 100, 250 and 500 iterations. The max iterations are 1.000 It should draw a graph of shaping the values of up to 10 values listed above. There will be checked one company at a time, so there will be up to 10 curves in one graph. The main thesis of the simulation is to prove, whether if agents move randomly the non-preferred goals in longer run are being discriminated.
Expected results are eg. sth like that: Summary The model simulates how a company evolves over time while prioritizing one of ten strategic goals. Agents introduce small, random changes to all goals. The simulation investigates whether non-preferred goals are unintentionally deprioritized over time.