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Paradigms of Artificial Intelligence Programming (PAIP)

One of the best books on AI and Programming ever.




Just to inform others, PAIP is not just an AI book, it is also a book on learning Common Lisp from scratch, and uses AI for the domain examples.


Unfortunately, there is not a drop of numerics in that book. It's a good book for learning about symbolic AI. There is, to a solid first order approximation, zero symbolic AI in a system like, say, Google speech recognition.


Not surprisingly, I would say, since I wouldn't count speech recognition as an AI task.


Nothing is counted as an AI task after someone finally manages to do it.


I anticipated that argument, but I wouldn't have considered ASR an AI task even before it was first attempted.


Any particular reason why? I feel that the problem of mapping sensory inputs like sound etc onto internal concepts for reasoning is an important part of AI.


My personal reason is that I don't consider the output of speech recognition to be "internal concepts for reasoning". In a Spoken Dialog System, this task is typically performed by a subsequent component that does natural language understanding (rather than recognition).




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