Learn · Artificial Intelligence in Industrial and Management Engineering
Lecture 11 of 41Week 03
Lecture 11: Backward Chaining Example
Prof. Deepu Philip and Prof. Prabal Pratap Singh · IIT Kanpur
Credits and licence
- From
- Artificial Intelligence in Industrial and Management Engineering, IIT Kanpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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- Tweens profiles and older. How courses are placed
All the lectures
- Lecture 1: Basics of Business - I
- Lecture 2: Basics of Business - II
- Lecture 3: Basics of Business - III
- Lecture 4: Understanding Industrial Engineering
- Lecture 5: Relationship of IE with other Disciplines
- Lecture 6: BI, Analytics, and AI: The Business Decision System
- Lecture 7: Business Intelligence
- Lecture 8: AI: The Abused Word in Business
- Lecture 9: K-Means Clustering Algorithm Explained
- Lecture 10: Knowledge Representation
- Lecture 11: Backward Chaining Example
- Lecture 12: Logic
- Lecture 13: Expert System for Reasonable Reasoning (Part 1)
- Lecture 14: Expert System for Reasonable Reasoning (Part 2)
- Lecture 15: Expert System for Reasonable Reasoning (Part 3)
- Lecture 16: Sorting and Searching
- Lecture 17: Other Searching Algorithm
- Lecture 18: Change goal: Visit all vertices on the graph
- Lecture 19: Implementing Depth-First Search
- Lecture 20: Greedy Best-First search
- Lecture 21: Machine Learning Basics (Part-1)
- Lecture 22: Machine Learning Basics (Part-2)
- Lecture 23: Machine Learning Basics (Part-3)
- Lecture 24: Machine Learning Basics (Part-4)
- Lecture 25: Machine Learning Basics (Part-5)
- Lecture 26: Neural Networks (Part-1)
- Lecture 27: Neural Networks (Part-2)
- Lecture 28: Neural Networks (Part- 3)
- Lecture 29: Natural Language Processing (Part – 1)
- Lecture 30: Natural Language Processing (Part – 2)
- Lecture: 31 Natural Language Processing (Part-3)
- Lecture: 32 Natural Language Processing (Part-4)
- Lecture: 33 Natural Language Processing (Part-5)
- Lecture: 34 Introduction to Scheduling
- Lecture: 35 Scheduling
- Lecture 36: Facility Layout (Part 1)
- Lecture 37: Facility Layout (Part 2)
- Lecture 38: Facility Layout (Part 3)
- Lecture 39: Genetic Algorithm (Part 1)
- Lecture 40: Genetic Algorithm (Part 2)
- Lecture 41: Genetic Algorithm (Part 3)