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Important Links

Lecture Slides

    
    
NoTopicDateSlides
0Organizational Matters20.02.screen
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1What is Artificial Intelligence?20.02.screen
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2AI Past and Present21.02.screen
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3Rational Agents21.02.screen
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4Introduction: Environments and Problem Solving Methods06.03.screen
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5State-Space Search: State Spaces06.03.screen
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6State-Space Search: Representation of State Spaces08.03.screen
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7State-Space Search: Examples of State Spaces08.03.screen
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8State-Space Search: Data Structures for Search Algorithms13.03.screen
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9State-Space Search: Tree Search and Graph Search13.03.screen
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10State-Space Search: Breadth-first Search15.03.screen
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11State-Space Search: Uniform Cost Search15.03.screen
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12State-Space Search: Depth-first Search & Iterative Deepening20.03.screen
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13State-Space Search: Heuristics20.03.screen
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14State-Space Search: Analysis of Heuristics22.03

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15State-Space Search: Best-first Graph Search22.03screen
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16State-Space Search: Greedy BFS, A* , Weighted A*27.03.screen
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17State-Space Search: IDA*27.03.screen
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18Properties of A∗ , Part I29.03.screen
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19Properties of A∗ , Part II29.03.screen
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20Combinatorial Optimization: Introduction and Hill-Climbing03.04.

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21Combinatorial Optimization: Advanced Techniques03.04.screen
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22

Constraint Satisfaction Problems: Introduction and Examples

05.04.screen
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23

Constraint Satisfaction Problems: Constraint Networks

05.04.screen
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24Constraint Satisfaction Problems: Backtracking12.04.screen
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25Constraint Satisfaction Problems: Arc Consistency12.04.screen
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26Constraint Satisfaction Problems: Path Consistency17.04.screen
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27Constraint Satisfaction Problems: Constraint Graphs17.04.screen
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28Constraint Satisfaction Problems: Decomposition Methods19.04.screen
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29Propositional Logic: Basics19.04.screen
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30Propositional Logic: Reasoning and Resolution24.04.screen
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31Propositional Logic: DPLL Algorithm

26.04.

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32Propositional Logic: Local Search and Outlook26.04.screen
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33Automated Planning: Introduction03.05.screen
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34Automated Planning: Planning Formalisms03.05.screen
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35Automated Planning: Delete Relaxation08.05.screen
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36Automated Planning: Delete Relaxation Heuristics08.05.screen
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37Automated Planning: Abstraction10.05.screen
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38Automated Planning: Landmarks10.05.screen
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39Automated Planning: The LM-cut Heuristic15.05.screen
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40Board Games: Introduction and State of the Art17.05.screen
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41Board Games: Minimax Search and Evaluation Functions17.05.screen
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42Board Games: Alpha-Beta Search22.05.screen
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43Board Games: Stochastic Games22.05.screen
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44Board Games: Monte-Carlo Tree Search Framework24.05.screen
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45Board Games: Monte-Carlo Tree Search Configurations24.04.screen
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Exercises

NoDue DateFiles
126.02.2023Sheet
212.03.2023Sheet 
state-spaces.zip
319.03.2023Sheet
uniform-cost-search.zip
426.03.2023Sheet
502.04.2023Sheet
best-first-search.zip
616.04.2023Sheet
hill-climbing.zip
723.04.2023Sheet
830.04.2023Sheet
907.05.2023Sheet
pddl.zip
1014.05.2023Sheet
1121.05.2023Sheet
1228.05.2023Sheet

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