slovo | definícia |
artificial intelligence (msas) | artificial intelligence
- AI |
artificial intelligence (msasasci) | artificial intelligence
- AI |
artificial intelligence (encz) | artificial intelligence,umělá inteligence |
artificial intelligence (wn) | artificial intelligence
n 1: the branch of computer science that deal with writing
computer programs that can solve problems creatively;
"workers in AI hope to imitate or duplicate intelligence in
computers and robots" [syn: artificial intelligence,
AI] |
artificial intelligence (foldoc) | artificial intelligence
AI
(AI) The subfield of computer
science concerned with the concepts and methods of {symbolic
inference} by computer and symbolic knowledge representation
for use in making inferences. AI can be seen as an attempt to
model aspects of human thought on computers. It is also
sometimes defined as trying to solve by computer any problem
that a human can solve faster. The term was coined by
Stanford Professor John McCarthy, a leading AI researcher.
Examples of AI problems are computer vision (building a
system that can understand images as well as a human) and
natural language processing (building a system that can
understand and speak a human language as well as a human).
These may appear to be modular, but all attempts so far (1993)
to solve them have foundered on the amount of context
information and "intelligence" they seem to require.
The term is often used as a selling point, e.g. to describe
programming that drives the behaviour of computer characters
in a game. This is often no more intelligent than "Kill any
humans you see; keep walking; avoid solid objects; duck if a
human with a gun can see you".
See also AI-complete, neats vs. scruffies, {neural
network}, genetic programming, fuzzy computing,
artificial life.
ACM SIGART (http://sigart.acm.org/). {U Cal Davis
(http://phobos.cs.ucdavis.edu:8001)}. {CMU Artificial
Intelligence Repository
(http://cs.cmu.edu/Web/Groups/AI/html/repository.html)}.
(2002-01-19)
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| podobné slovo | definícia |
artificial intelligence lab (foldoc) | MIT AI Lab
Artificial Intelligence Lab
(Massachusetts Institute of Technology {artificial
intelligence} laboratory) Workplace of many famous AI
researchers at MIT including GLS and RMS.
(http://ai.mit.edu/).
Address: 545 Technology Sq., Cambridge, MA 02139, USA.
(2003-02-28)
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stanford artificial intelligence laboratory (foldoc) | Stanford Artificial Intelligence Laboratory
(SAIL) /sayl/, not /S-A-I-L/ An important
site in the early development of LISP; with the {MIT AI
Lab}, BBN, CMU, XEROX PARC, and the Unix community,
one of the major wellsprings of technical innovation and
hacker-culture traditions (see the WAITS entry for details).
The SAIL machines were shut down in late May 1990, scant weeks
after the MIT AI Lab's ITS cluster was officially
decommissioned.
[Jargon File]
(2001-06-22)
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stanford artificial intelligence language (foldoc) | Stanford Artificial Intelligence Language
(SAIL) Dan Swinehart & Bob Sproull, Stanford AI
Project, 1970. A large ALGOL 60-like language for the DEC-10
and DEC-20. Its main feature is a symbolic data system based
upon an associative store (originally called LEAP). Items may
be stored as unordered sets or as associations (triples).
Processes, events and interrupts, contexts, backtracking and
record garbage collection. Block- structured macros. "Recent
Developments in SAIL - An ALGOL-based Language for Artificial
Intelligence", J. Feldman et al, Proc FJCC 41(2), AFIPS (Fall
1972). (See MAINSAIL).
The Stanford Artificial Intelligence Language used at SAIL
(the place). It was an ALGOL 60 derivative with a coroutining
facility and some new data types intended for building search
trees and association lists.
A number of interesting software systems were coded in SAIL,
including early versions of FTP and TeX and a document
formatting system called PUB.
In 1978, there were half a dozen different operating systems
for the PDP-10: WAITS (Stanford), ITS (MIT), TOPS-10 (DEC),
CMU TOPS-10 (CMU), TENEX (BBN), and TOPS-20 (DEC, after
TENEX).
SAIL was ported from WAITS to ITS so that MIT
researchers could make use of software developed at {Stanford
University}. Every port usually required the rewriting of I/O
code in each application.
[Jargon File]
(2001-06-22)
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