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Aritficial Intelligence, AI acts rationally by making decisions based on…
Aritficial Intelligence
Approaches to AI
Act Human
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This approach designs AI to behave in ways similar to humans, incorporating emotions, gestures, and decisions. It aims for AI to interact in human-like ways, particularly in social and emotional contexts.
Think Human
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AI in this approach is designed to mimic human cognitive processes, such as perception, thinking, and decision-making. The goal is to replicate the way humans process information and solve problems.
Act Rational
Agents
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AI agents are autonomous systems that make decisions and take actions to achieve specific goals. They can operate independently or interact with other agents to complete tasks
Think Rational
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Rational thinking in AI involves using logical steps to make decisions based on reasoning. The AI is designed to process information and come to conclusions that maximize efficiency or correctness.
Methods to design AI, either mimicking human thought or focusing on logic and rational decisions.
Includes cognitive science and decision-making systems.
Allows AI to learn, reason, and act autonomously
History of AI
Alan Turing
Turing Test
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Developed by Alan Turing, this test assesses a machine’s ability to exhibit intelligent behavior indistinguishable from that of a human. It is a benchmark for evaluating machine consciousness and reasoning.
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Tracks AI’s development from Turing’s work to modern AI
Highlights key milestones like machine learning and neural networks
Shows how AI has evolved from theory to application.
State of the art AI
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Refers to the most advanced AI applications today, like autonomous vehicles and speech recognition.
Showcases AI’s capabilities in real-world scenarios
Continually evolving with new breakthroughs in technology.
Deciplines of AI
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AI draws from fields like computer science, math, neuroscience, and philosophy.
Each discipline contributes to building smarter, more capable AI systems.
They provide theories and methods that guide AI development
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Reasoning In AI
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AI uses reasoning to solve problems and make decisions.
Includes inductive, deductive, and abductive reasoning.
Critical for autonomous systems to process information and act intelligently.
Strong VS Weak AI
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Strong AI suggests machines can truly think and be conscious.
Weak AI claims machines only simulate intelligence without true understanding
This debate shapes AI development goals.
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AI acts rationally by making decisions based on logic and optimal outcomes. This approach doesn’t mimic human behavior but focuses on achieving the best results according to predefined criteria.
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