Artificial Intelligence Planning
The AI Planning MOOC course materials have been provided in full as an “open-access learning experience which introduces artificial intelligence planning techniques and their applications”.
Created by Prof. Austin Tate and Dr. Gerhard Wickler, the course is offered at multiple levels of engagement from an “Awareness Level” to “Foundation Level” and a more involved “Performance Level” which included programming and other assignments. It has successfully run on the Coursera platform in 2013, 2014, and 2015.
Course materials include YouTube videos, weekly slides, quizzes, supplements, assignments, exams, and a Second Life virtual learning space and group.
The course materials are shared under the CC BY-NC-SA 3.0 licence.
Visit the AI Planning and MOOC Course Materials webpage
Learn more about the Artificial Intelligence Applications Institute at the University of Edinburgh
Go to the full AI Planning playlist on YouTube
Videos
Week 1
1.1 AIPLAN – What is Planning?
1.3a AIPLAN – Planning and Search
1.3b AIPLAN – Planning and Search
[Feature] AIPLAN – Artificial Intelligence Planning for Robots
1.5 AIPLAN – Context Practical Systems
1.6 AIPLAN – Context Tasking Execution Agents and Plans
1.7 AIPLAN – Context Example Planners
1.8 AIPLAN – Context Planning Plus Plus
Week 2
2.0 AIPLAN – Week 2 Introduction
2.1 AIPLAN – Heuristic Strategies
[Feature] AIPLAN – Nils Nilsson on A* and STRIPS
2.6a AIPLAN – Structures States
2.6b AIPLAN – Structured States
2.7a AIPLAN – Structured Operators
2.7b AIPLAN – Structures Operators
2.8a AIPLAN – Domains and Problems
2.8b AIPLAN – Domains and Problems
2.8c AIPLAN – Domains and Problems
Week 3
3.0 AIPLAN – Week 3 Introduction
3.2a AIPLAN – Plan Refinements
3.2b AIPLAN – Plan Refinements
3.3 AIPLAN – Plan Space Search
3.4 AIPLAN – Threats and Flaws
3.6a AIPLAN – PSP Implementation
3.6b AIPLAN – PSP Implementation
[Feature] AIPLAN – David Wilkins SIPE 2
Week 4
4.0 AIPLAN – Week 4 Introduction
4.2a AIPLAN – Basic Planning Graph
4.2b AIPLAN – Basic Planning Graph
4.5 AIPLAN – Forward Graph Expansion
4.6a AIPLAN – Backward Graph Search
4.6b AIPLAN – Backward Graph search
4.7 AIPLAN – Graphplan Algorithm
[Feature] AIPLAN – Joreg Hoffmann on Heuristic Search
4.8 AIPLAN – Planning Graph Heuristics
4.9 AIPLAN – Pattern Databases
Week 5
5.0 AIPLAN – Week 5 Introduction
5.1 AIPLAN – AI Planning Execution DS1
5.2 AIPLAN – AI Practical Planners
[Feature] AIPLAN – Brad Clement AI Planning for Space
Additional Videos
A.1. AIPLAN – Nonlin Demos 720×480
A.2. AIPLAN – O Plan Unix Systems Admin
A.4. AIPLAN – I-X I-Globe Sensemaker
[Feature] AIPLAN – Arturo Gonzalez Ferrer AI Planning in Medicine
[Feature] AIPLAN – AI Planning for Space Supplement
This work by The University of Edinburgh is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Image: Abstract-hi-tech-cyber-technology by Activeda on Pixabay, CC0 Public Domain