On 6/7/07, Lukasz Stafiniak <[EMAIL PROTECTED]> wrote:
Reasoning about Uncertainty (Paperback) by Joseph Y. Halpern
BTW, the .chm version of this book can be easily obtained on the net, as are many others you listed... I also recommand J Pearl's 2 books (Probabilistic Reasoning and Causality).
Pattern Recognition, Third Edition (Hardcover) by Sergios Theodoridis (Author), Konstantinos Koutroumbas (Author)
I have this one too, but the question is, how to apply pattern recognition in a logic-based setting?
Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence) by Ronald Brachman (Author), Hector Levesque (Author)
A very good intro for anyone interested in logic-based AI. Two of the main points are: don't reinvent the wheel of KR; the tradeoff between KR expressiveness and efficiency of inference.
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning) (Hardcover) by Ralf Herbrich (Author)
I don't know how kernel methods can be applied in a logic-based setting. The math level of this one is also quite beyond me.
Conceptual Spaces: The Geometry of Thought (Bradford Books) (Paperback) by Peter Gärdenfors (Author)
I forgot what this book was about, will check it out again. Did you know that Gardenfors is very influential in the logic-based belief revision theory, the "AGM" (G=him) postulates? I'm not aware of any book on pattern recognition with a view on AGI, except *The Pattern Recognition Basis of Artificial Intelligence* by Don Tveter (1998): http://www.dontveter.com/basisofai/basisofai.html You may look at *The Cambridge Hankbook of Thinking and Reasoning* first, especially the chapters on "similarity" and "analogy". YKY ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=231415&user_secret=e9e40a7e
