• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Outlook on Artificial Intelligence in the Enterprise 2016
Outlook on Artificial Intelligence in the Enterprise 2016

... 6 James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, and Angela Hung Byers, “Big data: The next frontier for innovation, competition, and productivity,” ...
1994 Consciousness
1994 Consciousness

... which is assured by nonconscious machinery. In spite of its widespread diffusion in cognitive science, this position is quite unreasonable, at least because of evolutionary concerns. Human beings have a first-person (conscious) understanding of their own behavior as being, at least in part, guided b ...
MS PowerPoint 97/2000 format
MS PowerPoint 97/2000 format

... • Clear introduction to one of a new algorithm • Checking its validity with examples from various fields – Negative points and possible improvements • The effectiveness of this algorithm has to be compared with other predominant methods like base rate model, binary mixture model, Gibb’s machine, mea ...
Clinical method
Clinical method

... do not have a body, while the intelligence of human beings is always in the situation and is conditioned by the fact that man has a body  "What distinguishes men from computers, to as designed in an intelligent way, is not an abstract universal immaterial soul, but a concrete specific material body ...
Artificial Neural Networks - Introduction -
Artificial Neural Networks - Introduction -

... yellowish/reddish ones are sweet. The learning happens by adapting the fruit picking behavior. Learning can be perceived as an optimisation process. When an ANN is in its SUPERVISED training or learning phase, there are three factors to be considered: The Inputs applied are chosen from a Training ...
PDF
PDF

... the foregoing discussion. The unsuitability of using expert systems for research has already been noted. The question, then, is whether they have a role in agricultural economics extension. I suspect that their role will be minor. The farm management problems of interest to agricultural economists g ...
CHAPTER ONE
CHAPTER ONE

... capabilities rather than replace them Goals ...
PowerPoint - University of Calgary
PowerPoint - University of Calgary

... •With the traditional approach to software development: specifications (what the software is supposed to do) is determined at the start and fixed throughout the project. •With extreme programming: specifications can and will change. - It’s argued that it’s impossible to correctly envision all the is ...
Machines can decide legal cases (?)
Machines can decide legal cases (?)

Class Notes # 1: Overview - School of Electrical Engineering and
Class Notes # 1: Overview - School of Electrical Engineering and

... ... history of AI (5) Programming languages best suited to AI tasks are Lisp (1960) and Prolog (1972). There also have been specialized knowledge representation systems and languages, used to develop knowledge bases and knowledge-based systems. This includes expert systems, in which probability and ...
Intro to Information Systems
Intro to Information Systems

... • Based in biology, neurology, psychology, etc. • Focuses on researching how the human brain works and how humans think and learn ...
A Unified Framework for Pattern Recognition, Image Processing
A Unified Framework for Pattern Recognition, Image Processing

... processing, analysis and understanding, natural language processing and understanding, computer vision techniques etc. has been to develop fundamental techniques for flexible interactive intelligent man-machine interfaces for computers. In this paper, the author attempts to argue that for evolution ...
Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence

... should be pre-programmed). Cognitive structure, for instance, is largely dependent on the interaction history of the developing system with the environment in which it is embedded (Hendriks-Jansen, 1996). Lessons for robotics: In traditional engineering the designer of the system imposes (“hard-wire ...
AAAI-07 Sponsor Program
AAAI-07 Sponsor Program

... AAAI-07 Sponsor Program On behalf of AAAI, we invite you to participate in the sponsor program for the Twenty-Second AAAI Conference on Artificial Intelligence and the Eighteenth Conference on Innovative Applications of Artificial Intelligence. The conferences will be held July 22-26, 2007 in Vancou ...
Research on the Application of Distributed Artificial Intelligence in
Research on the Application of Distributed Artificial Intelligence in

... Intelligence, DAI). Agent is a software entity that can study independently and adapt to the environment. Its characteristics include autonomy, re-activity, cooperation, openness, communication, mobility and so on. Agent can take action to achieve a set of predefined goals or tasks by sensing inform ...
Artificial Intelligence
Artificial Intelligence

... Rational System= system which does the «right thing» given what it knows. «The study of mental faculties through the use of computational models. »(Charniak and Mc dermott, 1985). «The study of the computations that make it possible to perceive, reason and act. ...
PDF - City University of Hong Kong
PDF - City University of Hong Kong

... The sub-symbolic approach on Natural Language Processing (NLP) is one of the mainstreams in Artificial Intelligence. Indeed, we have plenty of algorithms for variations of NLP such as syntactic structure representation or lexicon classification theoretically. The goal of these researches is obviousl ...
On Efficiency of Learning: A Framework and Justification.
On Efficiency of Learning: A Framework and Justification.

... use complex learning? It should be even more efficient. This is enabled by my assumption: PS is part of environment. Consequently, PS should control itself. It can do it with all its power. For self-control to be practicable, PS must be homogeneous. Therefore, it must not be necessary to design and ...
Report from the first international workshop on realizing artificial
Report from the first international workshop on realizing artificial

... Wasif Afzal, Blekinge Institute of Technology, Sweden Antonio Bahamonde, University of Oviedo, Spain Lionel Briand, University of Oslo, Norway Francisco Chicano, University of Málaga, Spain David Corne, Heriot-Watt University, UK Daniela da Cruz, University of Minho, Portugal Jim Davies, University ...
2. Adversarial Sequence Prediction
2. Adversarial Sequence Prediction

... system's pseudo-random number algorithm. But more sophisticated algorithms could learn to predict pseudo-random sequences. The adversarial sequence prediction game would make an interesting way to compare AGI implementations. Perhaps future AGI conferences could sponsor competitions between the AGI ...
Presentation
Presentation

... mathematical and engineering community – mathematical laws governing emotional involvement into thinking process have not been well known – there is a long-standing cultural belief that emotions are opposite to thinking and intellectually inferior • Socrates, Plato, Aristotle • reiterated by founder ...
Levinson_Deep_Blue_Is_still_an_infant
Levinson_Deep_Blue_Is_still_an_infant

... Blue will have lost another match to Garry Kasparov, showing little improvement over the previous one. But even if it is indeed a "new kind of intelligence", it can be argued that this intelligence is very basic. There is a long way to go until Deep Blue could be considered a fully autonomous agent, ...
Legal Expert System - CIS @ Temple University
Legal Expert System - CIS @ Temple University

... jury decide for themselves which side has the most convincing argument. An expert system could have to emulate the jury’s task by simply siding with whichever side is more likely to be correct, based the system’s previous conclusions. Since a neural net is very effective at pattern recognition, it c ...
A Glimpse on Gerhard Brewka`s Contributions to Artificial Intelligence
A Glimpse on Gerhard Brewka`s Contributions to Artificial Intelligence

... An early, yet influential, work of Gerd was the article “How to Do Things with Worlds” in the Journal of Logic and Computation that he wrote together with Joachim Hertzberg [37]. The work started out with a critique of previous approaches to model the changes induced by actions proposed by Ginsberg ...
A Preliminary Investigation of Alien Presence
A Preliminary Investigation of Alien Presence

< 1 ... 98 99 100 101 102 103 104 105 106 ... 241 >

History of artificial 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; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report