1. | ![]() |
인공지능 교과목 소개 | Course overview, course textbook, course topics | ![]() |
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01-인공지능 교과목 소개 | ![]() ![]() |
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2. | ![]() |
인공지능 개요 | What is AI?, Can Machines Act/Think Intelligently?, Main Areas of AI, AI History | ![]() |
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02-인공지능 개요 | ![]() ![]() |
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3. | ![]() |
Intelligent Agents | What Is an Agent?, Rational Agents, How Is an Agent Different from Other Software?, PEAS, Environment Types, Agent Types | ![]() |
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03-Intelligent Agents | ![]() ![]() |
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4. | ![]() |
Logical Agents - Part 1 | Knowledge and Reasoning, Knowledge-based agents, Knowledge representation, Knowledge base, Wumpus World | ![]() |
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04-Logical Agents - Part 1 | ![]() ![]() |
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5. | ![]() |
Logical Agents - Part 2 | Logic in General, Propositional Logic, Entailment, Inference, Proof Methods, Normal Clausal Form | ![]() |
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05-Logical Agents - Part 2 | ![]() ![]() |
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6. | ![]() |
First-Order Logic | First-order logic syntax, quantifiers, Translating English to FOL, Using FOL | ![]() |
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06-First-Order Logic | ![]() ![]() |
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7. | ![]() |
Inference in FOL - Part 1 | Inference with Quantifiers, Reduction to propositional inference, Unification, Generalized Modus Ponens (GMP) | ![]() |
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07-Inference in FOL - Part 1 | ![]() ![]() |
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8. | ![]() |
Inference in FOL - Part 2 | Inference Methods, Forward Chaining, Backward Chaining | ![]() |
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08-Inference in FOL - Part 2 | ![]() ![]() |
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9. | ![]() |
Inference in FOL - Part 3 | Conversion to CNF, Resolution, Resolution Example | ![]() |
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09-Inference in FOL - Part 3 | ![]() ![]() |
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10. | ![]() |
Uncertainty | Uncertain Agent, Types of Uncertainty, How do we deal with uncertainty?, How do we represent uncertainty?, Probability, Prior probability, Conditional probability, Independence | ![]() |
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10-Uncertainty | ![]() ![]() |
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11. | ![]() |
Probabilistic Reasoning | Computing with Probabilities, Conditional Independence, Bayesian Networks, Examples of Simple Bayesian Networks, Inference (Reasoning) in Bayesian Networks | ![]() |
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11-Probabilistic Reasoning | ![]() ![]() |
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Learning | Learning, Types of Learning, Inductive Learning Method | ![]() |
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12-Learning | ![]() ![]() |
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13. | ![]() |
Decision Trees | Learning Decision Trees, Attribute-based Representations, Finding Compact Decision Trees, Choosing an Attribute, Information Gain | ![]() |
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13-Decision Trees | ![]() ![]() |