Question
What are limitations of the computational model based On assumptions that are made in creating the
algebraic descriptions of energy changes and flows in a system? Select all that apply.
answers:
human error
accuracy of final conditions
biases in assumptions
simplification by ignoring some values
computational power of the computer
algebraic descriptions of energy changes and flows in a system? Select all that apply.
answers:
human error
accuracy of final conditions
biases in assumptions
simplification by ignoring some values
computational power of the computer
Answers
GPT-4o mini
The limitations of a computational model based on the assumptions made in creating the algebraic descriptions of energy changes and flows in a system include:
1. **Human error** - Errors can occur during the modeling process, including data input mistakes or misinterpretation of results.
2. **Accuracy of final conditions** - The results of the model may not accurately represent real-world conditions, depending on the assumptions and parameters used.
3. **Biases in assumptions** - If certain assumptions are biased or not representative of the actual system, the model's results may be skewed.
4. **Simplification by ignoring some values** - When simplifying complex systems by ignoring certain variables or interactions, the model may lose important information, affecting its accuracy.
The option **computational power of the computer** is generally not a limitation of the model itself but rather a practical constraint on what can be computed or simulated. Thus, it is not selected in this context.
So, the correct selections are:
- human error
- accuracy of final conditions
- biases in assumptions
- simplification by ignoring some values
1. **Human error** - Errors can occur during the modeling process, including data input mistakes or misinterpretation of results.
2. **Accuracy of final conditions** - The results of the model may not accurately represent real-world conditions, depending on the assumptions and parameters used.
3. **Biases in assumptions** - If certain assumptions are biased or not representative of the actual system, the model's results may be skewed.
4. **Simplification by ignoring some values** - When simplifying complex systems by ignoring certain variables or interactions, the model may lose important information, affecting its accuracy.
The option **computational power of the computer** is generally not a limitation of the model itself but rather a practical constraint on what can be computed or simulated. Thus, it is not selected in this context.
So, the correct selections are:
- human error
- accuracy of final conditions
- biases in assumptions
- simplification by ignoring some values