Posted by **Specialselection** at Nov. 22, 2012

English | 2010-04-19 | ISBN: 0521519004 | 682 pages | PDF | 4.4 mb

Posted by **karapuzik** at Oct. 9, 2011

688 pages | Cambridge University Press (April 19, 2010) | ISBN-10: 0521519004 | PDF | 3.2 Mb

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture.

Posted by **tot167** at June 24, 2010

Cambridge University Press | 2010 | ISBN: 0521519004 | 688 pages | PDF | 4,4 MB

Posted by **arundhati** at Nov. 27, 2016

2016 | ISBN-10: 3319444557 | 430 pages | PDF | 8 MB

Posted by **roxul** at Oct. 15, 2016

English | ISBN: 3319444557 | 2016 | 430 pages | PDF | 5 MB

Posted by **tanas.olesya** at Nov. 29, 2015

English | 27 Apr. 2009 | ISBN: 3642010849 | 528 Pages | PDF | 10 MB

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms.

Posted by **manamba13** at Feb. 13, 2015

English | 2001 | ISBN: 3540424172 | 592 Pages | DJVU | 4 MB

The central task of a future-oriented computational linguistics is the development of cognitive machines which humans can freely talk with in their respective natural language.

Posted by **Veslefrikk** at Jan. 6, 2015

Springer | 2009-04-15 | ISBN: 3642010873 | 398 pages | PDF | 20 MB

Posted by **DZ123** at Dec. 12, 2014

English | 2009 | ISBN: 3642010814 | PDF | pages: 397 | 8,11 mb

Posted by **tanas.olesya** at Nov. 3, 2014

Springer; 2002 edition | October 7, 2002 | English | ISBN: 0387955283 | 369 pages | PDF | 6 MB

Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge.