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What is Computational Intelligence (CI)?

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CI is a branch of artificial intelligence (AI) that focuses on developing systems and algorithms that can learn from data and make decisions.

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What is the goal of Computational Intelligence?

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The goal of CI is to create systems that can think, solve problems, and accomplish tasks in a similar way to humans.

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What methodologies does CI use to help systems learn?

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CI uses nature-inspired methodologies.

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List some main goals of Computational Intelligence.

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1. Creating systems that can adapt to changing environments. 2. Creating systems that can interact with humans. 3. Creating systems that can learn and improve over time. 4. Creating systems that can solve problems in novel ways. 5. Creating systems that can reason and make decisions.

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What is a key characteristic of CI related to learning?

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Learning and adaptation: CI systems can learn from data and adapt to new situations.

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How do CI systems handle complex problems?

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CI techniques can approximate solutions to problems that are too complex for traditional methods.

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What does robustness mean in the context of CI systems?

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Robustness means that CI systems can often handle noise and uncertainty in data, making them more resilient to real-world conditions.