Machines And Computational Modelling
Bayani Gaba-gaba
No one can afford to crash a real aircraft to find out whether a new wing design is safe, and no weather service can wait a week to see what tomorrow's storm actually does before warning people about it. Computers solve both problems the same way: by building a simplified, working copy of the real system inside software and running that copy instead of the real thing.
In this lesson you will learn the input-process-output model that describes how every computer system, however complex, transforms data, and you will explore the three families of computational model named on the specification, sequential, parallel and multi-agent, along with why models are used and where they can mislead.
Manufura
- Understand the input-process-output model
- Understand that there is a range of computational models (sequential, parallel, multi-agent)
Takardar Darasi
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- In the input-process-output model, what is produced by the 'process' stage? A) The data first entered into the system B) The result the system returns to the user C) Nothing; process only stores data D) A copy of the original input Answer: B
- Which type of computational model splits a task across multiple processors that work at the same time? A) Sequential B) Parallel C) Multi-agent D) Manual Answer: B
- A model in which every individual pedestrian follows their own rules and the crowd's overall movement emerges from those interactions is best described as which type of model? A) Sequential B) Parallel C) Multi-agent D) Static Answer: C
- Which of the following is NOT usually given as a reason for using a computational model instead of a real-world test? A) Cost B) Safety C) Speed D) Increasing complexity Answer: D
- Why might a computational model's prediction fail to match a real-world outcome? A) The model always uses too much processing power B) The model's assumptions do not fully match reality C) Models cannot use real data D) Sequential models are always inaccurate Answer: B
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