ICT 0417 - ICT Applications

6. ICT Applications: Computer Modelling vs Humans

This section explores the advantages and disadvantages of using computer modelling as an alternative to human involvement in various applications. We will examine scenarios where computer models offer benefits and situations where human expertise remains crucial.

What is Computer Modelling?

Computer modelling involves creating a virtual representation of a real-world system or process using computer software. This model can then be used to simulate, analyse, and predict the behaviour of the real-world system. Different types of computer models exist, including mathematical models, simulation models, and artificial intelligence models.

Advantages of Computer Modelling over Humans

• Speed and Efficiency: Computer models can perform calculations and simulations much faster than humans, especially for complex tasks.
• Consistency and Accuracy: Once programmed, a computer model will consistently produce the same results, eliminating human error and bias.
• Handling Large Datasets: Computer models can easily process and analyse vast amounts of data that would be impractical for humans to handle.
• Risk-Free Experimentation: Computer models allow for testing different scenarios and parameters without the risks associated with real-world experiments.
• Complex System Analysis: Models can represent and analyse intricate systems with numerous interacting components, revealing insights difficult to obtain through traditional methods.

Disadvantages of Computer Modelling compared to Humans

• Initial Development Cost: Developing a computer model can be expensive and time-consuming, requiring specialized software and expertise.
• Model Accuracy Depends on Input Data: The accuracy of a computer model is heavily reliant on the quality and completeness of the input data. Inaccurate data will lead to inaccurate results.
• Lack of Intuition and Creativity: Computer models lack the intuition, creativity, and adaptability of human experts. They may not be able to account for unforeseen circumstances or novel solutions.
• Difficulty in Validating Complex Models: Validating the accuracy of complex computer models can be challenging, especially when dealing with systems that are difficult to observe or measure.
• Potential for Misinterpretation: Results from computer models can be misinterpreted if not properly understood and contextualized by human experts.

Comparison Table: Computer Modelling vs. Humans

Examples of Computer Modelling Applications

1. Weather Forecasting: Complex weather models use vast amounts of atmospheric data to predict future weather conditions.
2. Financial Modelling: Models are used to simulate financial markets, assess investment risks, and predict economic trends.
3. Engineering Design: Computer-aided design (CAD) and finite element analysis (FEA) are used to simulate the performance of engineering structures before they are built.
4. Medical Diagnosis: AI-powered models can analyse medical images and patient data to assist in diagnosis.
5. Traffic Flow Simulation: Models are used to simulate traffic patterns and optimise road networks.

In conclusion, computer modelling offers significant advantages in terms of speed, accuracy, and data handling. However, it lacks the intuition, creativity, and adaptability of human experts. The most effective approach often involves a combination of both computer modelling and human expertise, leveraging the strengths of each to achieve optimal results.