This repository contains all the classes' activities done in the semester. These include:
- Solving 8-puzzle
- Backwards and Forwards chainning
- Recommender System
You should have the basic installation of Python-3 installed, no third-party library is required.
Although it has not been tested under Python-2, it might run without a hitch.
Solved by using Bread-first search and Depth-First search algorithms.
There is no installation procedure, just execute the file you wish to test.
To execute the game, just type:
python 8puzzle/game.py
The game solution is displayed backwards, i.e. the first table state printed is actually the last one. It also prints the number os iterations and a list of moves to reach the goal.
After executing one of the chainning files you should provide the following arguments:
-
List of rules
((p&q)#r)#(s&t)=>c;g#h=>x;s&(c#j)=>h -
List of facts
s, t -
A goal
x
Bellow you can see a overview of how each one works.
Item-based collaborative filtering is a form of collaborative filtering for recommender systems based on the similarity between items calculated using people's ratings of those items.
You can see more information such a related works and implementation in the README inside the recommender folder.
- 8 puzzle: https://kartikkukreja.wordpress.com/2015/06/14/heuristics-in-ai-search/
- Chainnings: QAU ISLAMABAD,PAKISTAN https://www.slideshare.net/quratarmy/forward-backward-chaining-60997177
- Recommender System: Recommender System (Machine Learning Summer School 2014 @ CMU) https://www.slideshare.net/xamat/recommender-systems-machine-learning-summer-school-2014-cmu
- Pearson Correlation http://www.dataanalytics.org.uk/Publications/S4E2e%20Support/exercises/spearman.htm