AI-Decision making in Machines / Computers

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An automated system performs predefined tasks or processes with minimal human intervention. It follows fixed instructions and operates within set rules and conditions. It does not make decisions on it…

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An autonomous system can make decisions and take actions independently without continuous human intervention. It uses AI, machine learning, sensors, and algorithms to understand its environment and re…

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Automated systems follow predefined instructions and do not have decision-making capability. Autonomous systems have decision-making capability and can act independently. Automated systems work well f…

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Critical autonomous systems may use redundant components so that the system can continue working if one part fails. This improves safety and reliability. Redundancy is important in systems where failu…

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A deterministic system is one in which the outcome is completely determined by the initial conditions and the governing rules. The result is predictable, and the same input always leads to the same ou…

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A probabilistic system is one in which the outcome is described using probabilities or likelihoods. The exact result is not fixed because uncertainty or randomness is involved. A roll of a fair six-si…

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Deterministic systems are fully predictable because outcomes are fixed by rules and initial conditions. Probabilistic systems involve uncertainty and describe outcomes using chances or probabilities.

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Deterministic systems can struggle with real-life problems because many such problems involve uncertainty and complexity. In these cases, a fixed rule-based approach may not be enough to give useful r…