Stanford Artificial Intelligence Language - определение. Что такое Stanford Artificial Intelligence Language
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Что (кто) такое Stanford Artificial Intelligence Language - определение

2001 FILM DIRECTED BY STEVEN SPIELBERG
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Stanford Artificial Intelligence Language      
<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)
History of artificial intelligence         
  • [[Al-Jazari]]'s programmable automata (1206 CE)
  • The IBM 702: a computer used by the first generation of AI researchers.
  • access-date=15 April 2012}}</ref>
  • [[Gottfried Leibniz]], who speculated that human reason could be reduced to mechanical calculation
  • Depiction of a homunculus from Goethe's Faust
  • A Hopfield net with four nodes
  • An example of a [[semantic network]]
OVERVIEW OF THE HISTORY OF ARTIFICIAL INTELLIGENCE
Artificial intelligence (history); History of AI; History of machine intelligence
The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The seeds of modern AI were planted by philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols.
ECCAI         
EUROPEAN LEARNED SOCIETY FOR ARTIFICIAL INTELLIGENCE
ECCAI; European coordinating committee for artificial intelligence; European Coordinating Committee for Artificial Intelligence; EurAI
European Coordinating Committee for Artificial Intelligence (Reference: org., AI, Europe)
Artificial general intelligence         
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THEORETICAL CLASS OF AI ABLE TO PERFORM ANY INTELLIGENCE-BASED TASK A HUMAN CAN
Artificial being; Artificial Being; Strong A.I.; Strong artificial intelligence; Strong AI technology; Strong Artificial Intelligence; Strong ai; Artificial General Intelligence; Strong AI vs. Weak AI; Strong AI vs. weak AI; Hard AI; StrongAI; General artificial intelligence; Advanced artificial intelligence; Self-replicating artificial general intelligences; Full AI; General AI; Artificial Idiot Savant; HLMI; AGI (computer science); General intelligent action; General-purpose AI
Artificial general intelligence (AGI) is the ability of an intelligent agent to understand or learn any intellectual task that a human being can.
European Association for Artificial Intelligence         
EUROPEAN LEARNED SOCIETY FOR ARTIFICIAL INTELLIGENCE
ECCAI; European coordinating committee for artificial intelligence; European Coordinating Committee for Artificial Intelligence; EurAI
The European Association for Artificial Intelligence (EurAI) (formerly European Co-ordinating Committee for Artificial Intelligence (ECCAI)) is the representative body for the European artificial intelligence community. The aim of EurAI is to promote the study, research and application of artificial intelligence (AI) in Europe.
Artificial intelligence in video games         
  • A robot goes for the ball and competes in Robocup.
  • Light cycle characters compete to be the last one riding, in ''[[GLtron]]''.
SIMULATION OF HUMAN-LIKE INTELLIGENCE IN VIDEO GAMES
Monster infighting; Game ai; Game AI; Game Artificial Intelligence; AI in computer games; Artificial Intelligence in computer games; AI in video games; Artificial Intelligence in video games; Computer game AI; Computer game Artificial Intelligence; Video game AI; Video game Artificial Intelligence; Game artificial intelligence; AI player; CPU player; Video game artificial intelligence; Computer game playing; Artificial intelligence in gaming; Cheating AI; CPU opponent; History of artificial intelligence in video games; Artificial intelligence (video games); Artificial intelligence in game programming; Game-playing programs; Computer player; Draft:Computer player; Computer opponent; Artificial intelligence in video gaming
In video games, artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-player characters (NPCs) similar to human-like intelligence. Artificial intelligence has been an integral part of video games since their inception in the 1950s.
AAAI         
INTERNATIONAL SCIENTIFIC SOCIETY
AAAI; American Association for Artificial Intelligence; American Association of Artificial Intelligence; American Association for the Advancement of Artificial Intelligence; Association for the advancement of artificial intelligence; AAAI Press; AI Magazine; National Conference of the American Association for Artificial Intelligence; Association for Advancement of Artificial Intelligence; ACM - AAAI Allen Newell Award; AI Mag.; AI Mag; ACM-AAAI Allen Newell Award; 10.1609; 10.21918; Aaai.org
American Association for Artificial Intelligence (Reference: org., AI, USA)
Symbolic artificial intelligence         
METHODS IN ARTIFICIAL INTELLIGENCE RESEARCH THAT ARE BASED ON HIGH-LEVEL SYMBOLIC REPRESENTATIONS OF PROBLEMS, LOGIC AND SEARCH, DOMINANT FROM THE 1950S UNTIL THE 1980S
Good Old-Fashioned Artificial Intelligence; Good old fashioned artificial intelligence; Sub-symbolic; Subsymbolic; GOFAIR; Good old-fashioned AI; Symbolic AI; Symbolic machine intelligence; Subsymbolic AI; Sub-symbolic AI; Subsymbolic artificial intelligence; Sub-symbolic artificial intelligence
In artificial intelligence, symbolic artificial intelligence is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. Symbolic AI used tools such as logic programming, production rules, semantic nets and frames, and it developed applications such as knowledge-based systems (in particular, expert systems), symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems.
Diagnosis (artificial intelligence)         
IN ARTIFICIAL INTELLIGENCE STUDIES, THE METHODS DETERMINE IF A SYSTEM'S BEHAVIOR IS CORRECT
Diagnosis (Artificial intelligence)
As a subfield in artificial intelligence, Diagnosis is concerned with the development of algorithms and techniques that are able to determine whether the behaviour of a system is correct. If the system is not functioning correctly, the algorithm should be able to determine, as accurately as possible, which part of the system is failing, and which kind of fault it is facing.
Journal of Experimental and Theoretical Artificial Intelligence         
JOURNAL
Journal of experimental and theoretical artificial intelligence; Journal of Experimental & Theoretical Artificial Intelligence; J Exp Theor Artif Intell; J. Exp. Theor. Artif. Intell.; Journal of experimental & theoretical artificial intelligence
The Journal of Experimental and Theoretical Artificial Intelligence is a quarterly peer-reviewed scientific journal published by Taylor and Francis. It covers all aspects of artificial intelligence and was established in 1989.

Википедия

A.I. Artificial Intelligence

A.I. Artificial Intelligence (or simply A.I.) is a 2001 American science fiction film directed by Steven Spielberg. The screenplay by Spielberg and screen story by Ian Watson were based on the 1969 short story "Supertoys Last All Summer Long" by Brian Aldiss. Set in a futuristic post-climate change society, the film stars Haley Joel Osment as David, a childlike android uniquely programmed with the ability to love. Jude Law, Frances O'Connor, Brendan Gleeson, and William Hurt star in supporting roles.

Development of A.I. originally began after producer/director Stanley Kubrick acquired the rights to Aldiss' story in the early 1970s. Kubrick hired a series of writers, including Brian Aldiss, Bob Shaw, Ian Watson, and Sara Maitland, until the mid-1990s. The film languished in development hell for years, partly because Kubrick felt that computer-generated imagery was not advanced enough to create the David character, whom he believed no child actor would convincingly portray. In 1995, Kubrick handed A.I. to Spielberg, but the film did not gain momentum until Kubrick died in 1999. Spielberg remained close to Watson's treatment for the screenplay, and dedicated the film to Kubrick.

A.I. Artificial Intelligence was released on June 29, 2001 by Warner Bros. Pictures in North America and by DreamWorks Pictures internationally. It received generally positive reviews from critics and grossed approximately $235 million against a budget of $90–100 million. It was also nominated for Best Visual Effects and Best Original Score (for John Williams) at the 74th Academy Awards. In a 2016 BBC poll of 177 critics around the world, A.I. Artificial Intelligence was voted the eighty-third greatest film since 2000.