Artificial Intelligence: A Modern Approach

http://aima.cs.berkeley.edu/

by kqr2 • 17 years ago

42 28 17 years ago

aima.cs.berkeley.edu

jlees• 17 years ago

A classic but I'm not quite sure why it was posted? Initially thought they'd made the text available online, which would be cool. But alas.

Is the Google Code or design-a-cover thing the actual news here?

ricree• 17 years ago

Agreed, although the code examples in python ( http://code.google.com/p/aima-python/ ) and lisp ( http://aima.cs.berkeley.edu/lisp/doc/overview.html ) are worth pointing out.

dmix• 17 years ago

Does AI + Python have any practical use in production?

Most of the algorithms I've tested seem pretty slow. Although the linked examples are for learning.

From my research AI seems to be primarily LISP in academia and C in production.

plinkplonk2• 17 years ago

"A classic but I'm not quite sure why it was posted?"

and why is it getting so many upvotes? Extending this approach, if anyone is looking for free karma, just post separate links to all the classic CS books, without any comments or added explanation (3 separate submissions for the TAOCP Knuth books ;-)). Lots of karma for the taking ;-)

now that this is on the front page, here is something interesting. There's a 1000 $ prize for designing a cover for the third edition (see top right hand corner of teh page). The cover of the first two editions are very dense with references to AI history. If I could draw worth a damn I would have taken a shot at it.

jjames• 17 years ago

Serious tease. I expected either the text available online, lecture videos or at the very least a courseware podcast from Berkeley. I guess I'll go back to staring at it at the bookstore...

DTrejo• 17 years ago

Eliezer• 17 years ago

My name is Eliezer Yudkowsky, and I think this book is awesome.

sgrove• 17 years ago

I love this book as well, and I make sure to read it over regularly to spark different ideas - but it's expensive. Buying it was a bitterweet experience, to say the least.

Owell, it's at least the best you're likely to find.

mahmud• 17 years ago

It bored me to tears. The "agent" orientation of the book does not address my needs for AI: data mining and inference. Norvig's companion Paradigms of Artificial Intelligence was a bliss however :-)

vang3lis3• 17 years ago

My name is vang3lis and I'm an alcoholic. So what?

zandorg4• 17 years ago

I know Elizier's name from Novamente, which is no small achievement.

fizz• 17 years ago

I like the AI Game Programming Wisdom Series (http://www.aiwisdom.com/).

Or maybe if we are posting up classics we could mention The Society of Mind by Marvin Minsky.

benkant• 17 years ago

It appears a 3rd edition is on the way. I wonder what changes it will bring?

http://media.pearsoncmg.com/ph/esm/ecs_ai/

paraschopra2• 17 years ago

While the book is good, it lacks the statistical approach to AI and ML. Currently, most of the AI or ML is done in statistical fashion and I think this book does not do justice in introducing those topics well.

schtog• 17 years ago

? chater 5 to 7 seem to cover that pretty well.

Part V Uncertain Knowledge and Reasoning 13 Uncertainty 14 Probabilistic Reasoning 15 Probabilistic Reasoning Over Time 16 Making Simple Decisions 17 Making Complex Decisions Part VI Learning 18 Learning from Observations 19 Knowledge in Learning 20 Statistical Learning Methods (pdf) 21 Reinforcement Learning Part VII Communicating, Perceiving, and Acting 22 Communication 23 Probabilistic Language Processing 24 Perception 25 Robotics Part VIII Conclusions 26 Philosophical Foundations 27 AI: Present and Future Bibliography (pdf and counts) Index (html or pdf)

vang3lis3• 17 years ago

what would you recommend to supplement Russel&Norvig?

plinkplonk2• 17 years ago

"what would you recommend to supplement Russel&Norvig?"

Elements Of Statistical learning( http://www-stat.stanford.edu/~tibs/ElemStatLearn/ )

jacoblyles• 17 years ago

Everybody I meet in industry and academia has a copy of Bishop's "Pattern Recognition and Machine Learning". It's pretty comprehensive.

The most recent version of Russell and Norvig does have a solid statistics section in it, but they don't start it until the middle of the book.

paraschopra2• 17 years ago

I would rather recommend Machine Learning video course from Stanford by Andrew Ng.

Pattern Recognition and Machine Learning by Christopher M. Bishop is good too

mrduncan• 17 years ago

My vote goes to Programming Collective Intelligence (http://oreilly.com/catalog/9780596529321/)

aufreak• 17 years ago

The ToC doesn't contain anything about the situated cognition, enactive cognition schools of thought, so I find applying the term AI to this book too broad. The topics covered seems to broadly fall under "automatic problem solving strategies" or something like that. Check out Rodney Brooks' robotics work for anything that feels like intelligence.

zandorg4• 17 years ago

I sold my copy on Amazon when I realised I'd get all my money back.

Artificial Intelligence: A Modern Approach

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