| 1 |
Introduction and Scope
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
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| 2 |
Reasoning Goal Trees and Problem Solving
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
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| 3 |
Reasoning Goal Trees and Rule-Based Expert Systems
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
|
| 4 |
Search Depth-First, Hill Climbing, Beam
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
|
| 5 |
Search Optimal, Branch and Bound, A*
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
|
| 6 |
Search Games, Minimax, and Alpha-Beta
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 7 |
Constraints Interpreting Line Drawings
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 8 |
Constraints Search, Domain Reduction
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 9 |
Constraints Visual Object Recognition
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 10 |
Introduction to Learning, Nearest Neighbors
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 11 |
Learning Identification Trees, Disorder
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
|
| 12 |
Neural Nets
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
|
| 13 |
Deep Neural Nets
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 14 |
Learning Genetic Algorithms
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
|
| 15 |
Learning Sparse Spaces, Phonology
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Artificial Intelligence (MIT)
|
MIT
|
Applied Sciences
|
| 16 |
Learning Near Felicity Conditions
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
|
| 17 |
Learning Support Vector Machines
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 18 |
Learning Boosting
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Artificial Intelligence (MIT)
|
MIT
|
Applied Sciences
|
| 19 |
Representations Classes, Trajectories, Transitions
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 20 |
Architectures GPS, SOAR, Subsumption, Society of Mind
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 21 |
Probabilistic Inference I
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
| 22 |
Probabilistic Inference II
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
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| 23 |
Model Merging, Cross-Modal Coupling, Course Summary
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
|
| 24 |
Mega-R1. Rule-Based Systems
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Artificial Intelligence (MIT)
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MIT
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Applied Sciences
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| 25 |
Mega-R2. Basic Search, Optimal Search
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Artificial Intelligence (MIT)
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MIT
|
Applied Sciences
|
