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Implement Part VI and VII (chapters 22-26) for Jekyll site
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<h1>Aritificial Intelligence: A Modern Approach</h1> | ||
<h3>Stuart J. Russell and Peter Norvig</h3> | ||
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<div class="toc"> | ||
<div>Table of Contents</div> | ||
<ul> | ||
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<span>Part Ⅰ Artificial Intelligence</span> | ||
<ol> | ||
<li><a href="/intro-exercises">1. Introduction</a></li> | ||
<li><a href="/agents-exercises">2. Intelligent Agent</a></li> | ||
</ol> | ||
</li> | ||
<li> | ||
<span>Part Ⅱ Problem-solving</span> | ||
<ol> | ||
<li><a href="/search-exercises">3. Solving Problems By Searching</a></li> | ||
<li><a href="/advanced-search-exercises">4. Beyond Classical Search</a></li> | ||
<li><a href="/game-playing-exercises">5. Adversarial Search</a></li> | ||
<li><a href="/csp-exercises">6. Constraint Satisfaction Problems</a></li> | ||
</ol> | ||
</li> | ||
<li> | ||
<span>Part Ⅲ Knowledge, reasoning, and planning</span> | ||
<ol> | ||
<li><a href="/knowledge-logic-exercises">7. Logical Agents</a></li> | ||
<li><a href="/fol-exercises">8. First Order Logic</a></li> | ||
<li><a href="/logical-inference-exercises">9. Inference In First Order Logic</a></li> | ||
<li><a href="/planning-exercises">10. Classical Planning</a></li> | ||
<li><a href="/advanced-planning-exercises">11. Planning And Acting In The Real World</a></li> | ||
<li><a href="/kr-exercises">12. Knowledge Representation</a></li> | ||
</ol> | ||
</li> | ||
<li> | ||
<span>Part Ⅳ Uncertain knowledge and reasoning</span> | ||
<ol> | ||
<li><a href="/probability-exercises">13. Quantifying Uncertainity</a></li> | ||
<li><a href="/bayes-nets-exercises">14. Probabilistic Reasoning</a></li> | ||
<li><a href="/dbn-exercises">15. Probabilistic Reasoning Over Time</a></li> | ||
<li><a href="/decision-theory-exercises">16. Making Simple Decisions</a></li> | ||
<li><a href="/complex-decisions-exercises">17. Making Complex Decision</a></li> | ||
</ol> | ||
</li> | ||
<li> | ||
<span>Part Ⅴ Learning</span> | ||
<ol> | ||
<li><a href="/concept-learning-exercises">18. Learning From Examples</a></li> | ||
<li><a href="/ilp-exercises">19. Knowledge In Learning</a></li> | ||
<li><a href="/bayesian-learning-exercises">20. Learning Probabilistic Models</a></li> | ||
<li><a href="/reinforcement-learning-exercises">21. Reinforcement Learning</a></li> | ||
</ol> | ||
</li> | ||
<li> | ||
<span>Part Ⅵ Communicating, perceiving, and acting</span> | ||
<ol> | ||
<li><a href="/nlp-communicating-exercises">22. Natural Language Processing</a></li> | ||
<li><a href="/nlp-english-exercises">23. Natural Language For Communication</a></li> | ||
<li><a href="/perception-exercises">24. Perception</a></li> | ||
<li><a href="/robotics-exercises">25. Robotics</a></li> | ||
</ol> | ||
</li> | ||
<li> | ||
<span>Part Ⅶ Conclusions</span> | ||
<ol> | ||
<li><a href="/philosophy-exercises">26. Philosophical Foundations</a></li> | ||
<li><a href="/#/"> Future Exercises</a></li> | ||
</ol> | ||
</li> | ||
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<h1 id="27-ai-the-present-and-future">27. AI: The Present and Future</h1> | ||
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