Friday, December 19, 2008

Best of Luck!!

Saturday, December 13, 2008

What can we expect in VIVA!!

Well network programming ka viva was a bit tough.. but I went through it pretty well it was all about apache server and all so I managed to answer a few.

Now its time for AI viva and lets throw some probable questions...

I feel heuristic search techniques are going to top the charts, with game playing being as secondary option.. wat u guys say???

Also if anybody has understood the programs written in prac file toh samjha do yaar!!!

Sunday, December 7, 2008

Kudos now everyone can contribute!

Now you can even post directly at aimadesimple.blogspot.com by simply sending a mail at modi.konark.contributor@blogger.com

Subject contains tag line for the post and body contains matter of the post.

Note:- Do not forget to mention your name and contact information

So Keep blogging and Keep posting!!

Saturday, December 6, 2008

Cracking Algos!

Here's the key to crack these algorithms.
Algos 1-5 and 11(b) are very simply and easily explained on the following link.
http://www-cs-faculty.stanford.edu/~eroberts/courses/soco/projects/2003-04/intelligent-search/blind.html

Other references-wikipedia.org

List of Algorithms!

This is a list of algorthims that need to be cracked while preparing for AI.

1. Minimax search procedure
2. Alpha-beta pruning.
3. Iterative deepening
4. Depth-First searcg
5. Breadth First search
6. Generate and test
7. Hill climbing
8. Simple Hill Climbing
9. Steep-Ascent Hill climbing
10. Simulated annealing
11. Best first search
(a) OR graphs
(b) A*
12. AND-OR graphs
13. AO*

Friday, December 5, 2008

Syllabus!

1. Introduction to artificial intelligence, probelms and techniques.
2. Problems,Problem Spaces,Searches.
3. Heuristic search techniques.
4. Knowledge representation- Issues, Predicate logic,Representation using rules,Symbolic and Statistical Reasoning.
5. Weak and Strong Slot-and-Filler structures.
6. Game Playing.
7. Planning.
8. Understanding.
9. Learning.
10. Common Sense.
11. Naltural Language Processing.
12. Parallel & Distributed AI.
13. Connectionist Models.
14. Expert systems.
15. Perception and Action.

Note:- The topics mentioned above form each chapter of the book ARTIFICIAL INTELLIGENCE- ELAINE RICH AND KEVIN KNIGHT (IInd EDITION).

Welcome!

Hi...
Lets become contributors and get started and make this blog a resource generating and resource sharing centre!