Introducción a la IA

 

(Frescos, este inglés no es tan dificil)

One of the big questions of science is "What is

intelligence?" Artificial intelligence is the study of

intelligence--in machines and, through computers, in

people. Much of the general information listed in this

section is concerned with the nature of the science and

the question of whether computers can think. Most of

the other pages in AI Topics are concerned with how to

build computers that think.

 

 

 

. . . because computers lack bodies and life experiences

comparable to humans', intelligent systems will probably be

inherently different from humans.

 

-- David L. Waltz

 

 

 

 

 

 

 

Good Places to Start

 

What is Artificial Intelligence? By John McCarthy. Computer Science Department,

Stanford University. One of the founders of the field of AI, McCarthy covers the

basics in a question and answer format.

[http://www-formal.stanford.edu/jmc/whatisai/whatisai.html]

 

Introduction to the Science of Artificial Intelligence. By Tim Dunn, Adam Dyess, Bill

Snitzer. An award-winning site created by students for Thinkquest, an organization that

promotes web learning. Provides mostly online information, and some links, for areas

including the history, approaches and current applications of AI. Especially well suited

for high school students and teachers. [http://library.thinkquest.org/2705/]

 

What is Artificial Intelligence? By Aaron Sloman. Computer Science Department,

University of Birmingham, UK. A very crisp & clear tour of the AI landscape. Also see

Artificial Intelligence, An Illustrative Overview in which he presents his views about the

many dimensions of AI and what an AI degree program should embrace.

[http://www.cs.bham.ac.uk/~axs/misc/aiforschools.html -and-

http://www.cs.bham.ac.uk/~axs/courses/ai.html]

 

Artificial Intelligence Tutorial Review. Developed and compiled by Eyal Reingold and

Johnathan Nightingale of the University of Toronto. "This review has been designed with

the expectation that its readers are new to the area, and care is taken to explain

concepts fully. The review should provide an interesting and accessible introduction for

beginners, but may be somewhat redundant for readers with more background in the area.

Nevertheless, more advanced readers may find interesting links and demonstrations

throughout the review." [http://psych.utoronto.ca/~reingold/courses/ai/]

 

Artificial Intelligence: A Modern Approach. A textbook by Stuart Russell and Peter

Norvig. 1995. Upper Saddle River, NJ: Prentice Hall. The authors' web page for the

book provides contents and description, as well as resources for instructors and

programmers. Chapter 1 (available online) is a fine introduction to AI.

[http://www.cs.berkeley.edu/~russell/aima.html]

 

AI's Greatest Trends and Controversies. IEEE Intelligent Systems (January/February

2000) A timely and thought provoking collection of views from AI scholars and

practitioners. [http://www.computer.org/intelligent/ex2000/pdf/x1008.pdf]

 

Timeline of Computer History from The Computer Museum History Center. "This timeline

explores the history of computing from 1945 to 1990. Each year features illustrated

descriptions of significant innovations in hardware and software technology, as well as

milestones in areas such as commercial applications and artificial intelligence. When

appropriate, biographical sketches of the pioneers responsible for the advances are

included." [http://www.computerhistory.org/timeline/index.page]