BSCS3003

33 Internal Entities Declared
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01 - ๐Ÿง  History & Philosophy of AI
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02 - ๐Ÿค– Intelligent Agents & Problem Solving
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03 - ๐Ÿง  AI Philosophy & Approaches
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04 - ๐ŸŒ State Space Search & Blind Search
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05 - โš™๏ธ Configuration vs. Planning Problems
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06 - ๐ŸŒ Implicit vs. Explicit State Spaces
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07 - โ†”๏ธ Breadth-First Search (BFS)
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08 - ๐Ÿ”„ Depth-First Iterative Deepening (DFID)
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09 - โญ Best First Search
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10 - ๐ŸŽจ Designing Heuristic Functions
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11 - ๐Ÿ“ Heuristic Functions- Hamming & Manhattan
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12 - โ›ฐ๏ธ Hill Climbing
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13 - ๐Ÿ”„ Local Search & Metaheuristics Overview
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14 - โœ… SAT, CNF & Local Search
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15 - ๐ŸŒก๏ธ Simulated Annealing & Tabu Search
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16 - ๐Ÿ”ฆ Beam Search & Variable Neighborhood Descent
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17 - ๐Ÿงฌ Genetic Algorithms
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18 - ๐Ÿœ ACO & Emergent Systems
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19 - ๐ŸŒฟ Branch & Bound
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20 - โœ… Admissibility & Consistency in A-
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21 - โญ A- Search
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22 - ๐ŸŒฟ TSP Branch & Bound
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23 - โฉ Weighted A- & IDA-
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24 - ๐Ÿ“ Monotone Condition & Pruning in A-
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25 - ๐ŸŽฏ SMGS & Beam Stack Search
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26 - ๐Ÿงฌ Sequence Alignment & Needleman-Wunsch
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27 - โ™Ÿ๏ธ Minimax & Alpha-Beta Pruning
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28 - โญ SSS- Algorithm
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29 - ๐Ÿค– Automated Planning
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30 - ๐Ÿงฑ Blocks World & Multi-Armed Robots
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31 - ๐Ÿ”€ Problem Decomposition & AO-
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32 - ๐Ÿ“Š Graphplan & Plan Space Planning
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33 - ๐Ÿง  Rule-Based Expert Systems
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