AI-Decision making in Machines / Computers — Chapter Summary
ICSE · Class 10 · Robotics & Artificial Intelligence
Summary of AI-Decision making in Machines / Computers for ICSE Class 10 Robotics & Artificial Intelligence. Decision making in machines depends.
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Overview
Decision making in machines depends on the type of system and the kind of problem being solved. Some machines follow fixed instructions and do not make decisions of their own, while others can sense changes, learn from data, and choose actions independently. Deterministic systems always give the sam
Key Concepts
Automated systems perform predefined tasks
Automated systems perform predefined tasks with minimal human intervention. They work with fixed algorithms, follow set rules, and do not have decisio
Autonomous systems can make decisions
Autonomous systems can make decisions and take actions independently without continuous human intervention. They use AI, machine learning, sensors, an
Deterministic systems have outcomes completely determined
Deterministic systems have outcomes completely determined by initial conditions and governing rules. They are predictable, and the same input always g
Probabilistic systems describe outcomes in terms
Probabilistic systems describe outcomes in terms of probabilities or likelihoods. They involve uncertainty and randomness, so the exact result cannot
Human decision making is a complex
Human decision making is a complex process that involves gathering information, evaluating options, and selecting an action. It is influenced by ratio
Learning Objectives
- Understand the difference between automated systems and autonomous systems
- Compare deterministic systems with probabilistic systems
- Explain how human decision making differs from machine decision making
- Describe machine learning as a part of artificial intelligence
- Identify the main types of machine learning
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Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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