CPSC 522 - Artificial Intelligence 2
Readings
Spring 2012
Readings
These readings will be updated throughout the term. Where possible, I
have tried to find sources that are freely available. Some of them are
only free using a university computer (e.g. using the VPN).
Books
Much of the basics is covered in
- D. Poole and A. Mackworth Artificial Intelligence: Foundations of
Computational Agents (Cambridge University Press, 2010)
- S. Russell and P. Norvig, Artificial Intelligence : A Modern
Approach, 3rd edn (Prentice-Hall, 2010)
- D. Koller and N. Friedman. Probabilistic Graphical Models:
Principles and Techniques. (MIT Press 2009)
- A. Darwiche, Modeling and Reasoning with Bayesian Networks
(Cambridge University Press, 2010)
- S. Thrun, W. Burgard and D. Fox, Probabilistic Robotics, (MIT Press
2006)
- Martijn van Otterlo, The Logic of Adaptive Behavior -
Knowledge Representation and Algorithms for Adaptive Sequential
Decision Making under Uncertainty in First-Order and Relational
Domains, (IOS Press, 2009).
Journals and Conferences
The major journals and conferences related to this course are:
Philosophy and Practice of Science
There are lot of
books about science, pseudoscience and non-science --- this is very
relevant to the course as science is one of the best-developed mechanisms for
discovering what is true in the world. See, e.g., The Scientific
Method Made Easy.
Probabilistic Relational Models
-
K. Kersting, S. Natarajan, D. Poole, Statistical
Relational AI: Logic, Probability and Computation Technical Report 2012.
- De Raedt, L.; Frasconi, P.; Kersting, K.; Muggleton,
S.H. (Eds.), Probabilistic Inductive Logic Programming
Springer, 2008
- Luc De Raedt.
Logical and Relational Learning.
Springer.2008.
Decision-theoretic Planning and Reinforcement Learning
- Boutilier, Dean
and Hanks ``Decision Theoretic Planning: Structural Assumptions and
Computational Leverage'', JAIR, Vol 11, 1--94, 1999
- Kaelbling, L.P., Littman, M.L., and Moore, A.W. (1996) "Reinforcement
Learning: A Survey", JAIR,
Volume 4, pages 237-285.
- Csaba Szepesvari, Algorithms
for Reinforcement Learning, Morgan & Claypool, 2010.
Causality
Last updated: 2011-08-23, David Poole