Courses

  1. AFCAI – Deepak Khemani
  2. Scheams in problem solving – Sandra Marshal
  3. SOAR Cognitive architecture – J Laird
  4. Knowledge Representation and Reasoning – Brachman and Levesque
  5. Meta Reasoning – Anita Raja
  6. Reasoning About Knowledge – J Halpern
  7. Logic In Games – Van Benthem
  8. Game Theory – Osborne
  9. Epistemic Game Theory  –
  10. Algorithmic Game Theory – Tim roughgarden
  11. Multi Agent Systems – yovav soham
  12. Machine Learning – Tom mitchell
  13. Artifical Neural Networks – Yagna narayana

The above are from books

 

from online courses

  1. Society of mind : Marvin minsky
  2. AI : P H winston
  3. Knowledge based AI: Ashok goel
  4. Machine learning:  Andrew Ng
  5. Natural language processing: Gurafsky
  6. Game theroy: K L brown

 

 

Deep Reinforcement Learning for Bridge

KBANN;

http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html

David Silver

Google DeepMind

Deep Reinforcement Learning

http://auai.org/uai2015/invitedSpeakers.shtml

Click to access dqn.pdf

Click to access dqn.pdf

Click to access dqn.pdf

Click to access dqn.pdf

Click to access dqn.pdf

Click to access dqn.pdf

Lec 6:Common Knowledge and Agreement

Common knowledge is a fundamental notion of group knowledge.

Common knowledge is a necessary and sufficient condition for reaching an agreement and for coordinating actions.

Three famous illustrations:

  1. Coordinated attack.
  2. Agreeing to disagree.
  3. Simultaneous byzantine agreement.

Relation between common knowledge and agreement:

 

Formally capture the cognition: