• 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
(Knowledge-Based Systems). - Industrial Engineering Department
(Knowledge-Based Systems). - Industrial Engineering Department

... of thinking and become a part of our systems approach to problem-solving. It is the IE who integrates skills of engineering with the tools of mathematics and computer science to formulate and build models for design, analysis, evaluation and prediction purposes. Future computers are predicted to int ...
Ch12
Ch12

... results of data analyses to users, and offer examples of how businesses and government agencies can use each of these technologies. ...
jan10
jan10

... understand and reason (cf. cognitive science) 2. Solve problems that are too large to find the best answer algorithmically, using heuristic (incomplete) methods 3. Solve problems that are not well-understood ...
16. brain engineering
16. brain engineering

... - convinced 1 in 3 judges at the Turing Test 2014 competition at the Royal Society in London that it was a real person; according to Eugene's makers, it was the first time this has happened since Turing first proposed the test in 1950. ...
323-670 ปัญญาประดิษฐ์ (Artificial Intelligence)
323-670 ปัญญาประดิษฐ์ (Artificial Intelligence)

... • (Artificial Intelligence) Devices and applications that exhibit human intelligence and behavior including robots, expert systems, voice recognition, natural and foreign language processing. It also implies the ability to learn and adapt ...
Artificial Intelligence Safety and Cybersecurity: a Timeline
Artificial Intelligence Safety and Cybersecurity: a Timeline

... formal training in computer science, cybersecurity, cryptography, decision theory, machine learning, formal verification, computer forensics, steganography, ethics, mathematics, network security, psychology and other relevant fields. It is not hard to see that the problem of making a safe and capabl ...
What`s an Expert System
What`s an Expert System

... Turing test: a test proposed by alan turing to determine if computers can think. To pass the turing test, a computer must have a dialog with humans and have the humans not be able to tell if they are talking to a computer or another person. To make the test a little more achievable, the dialog is al ...
CS 112 Introduction to Programming - Zoo
CS 112 Introduction to Programming - Zoo

...  Artificial Intelligence (AI). The science and ...
A Multi-Agent Systems “Turing Challenge”
A Multi-Agent Systems “Turing Challenge”

... I recently argued that Turing, were he alive now, would conjecture differently than he did in 1950, and I suggested a new “Turing challenge” question, “Is it imaginable that a computer (agent) team member could behave, over the long term and in uncertain, dynamic environments, in such a way that peo ...
Alan turing test
Alan turing test

... • The Turing Test is a method for determining whether or not a computer is capable of thinking like a human. (Rouse, 2015) • The Loebner Prize is a contest designed to implement the Turing Test. Dr Loebner pledged a Grand Prize of $100,000 and a Gold Medal for the first computer whose responses were ...
Varieties of Thinking - World Academy of Art and Science
Varieties of Thinking - World Academy of Art and Science

... Aggregates the parts to reconstitute the whole Constructs concepts and conceptual systems out of the pieces Separates the observer from the object Concentrates by self-limitation and self-absorption Views reality from a single perspective and set of premises ...
animated version
animated version

... We attribute meaning to its external behaviour and internal information We treat other humans like this all the time, call it folk psychology For example: symbols could represent objects and relationships This would allow a clear separation of what and how Alternatively: it could be a messy represen ...
KTH-CSC-TCS/DDT
KTH-CSC-TCS/DDT

... involving intentional agents, leading to interest in game-theoretic approaches. ...
An Overview Of Some Unsolved Problems In Artificial Intelligence
An Overview Of Some Unsolved Problems In Artificial Intelligence

... machines is concerned with ways of re-structuring problems to tame the combinatorial explosion - but if the human brain is taken as a guide, we can expect that very large numbers of units will be required, unless some entirely new techniques turn up. It should not be assumed that the units out of wh ...
Unit 9 Lesson 4 Artificial Intelligence
Unit 9 Lesson 4 Artificial Intelligence

... ideas. Roboticists are nowhere near achieving this level of artificial intelligence, but they have made a lot of progress with more limited AI. Today's AI machines can replicate some specific elements of intellectual ability. 3. Computers can already solve problems in limited realms. The basic idea ...
Artificial Intelligence
Artificial Intelligence

...  Protein P has class “4helical-up-and-downbundle”  if  it contains a long helix H1  at a secondary structure position between 1 and 3  and H1 is followed by a second helix H2 ...
Expert System
Expert System

... An Expert System is a program that has access to a large database or knowledge about one particular subject. ...
Chapter 9 - Missouri State University
Chapter 9 - Missouri State University

... information to reflect the new information • Online analytical processing (OLAP) – the manipulation of information to create business intelligence in support of strategic decision making ...
Introducing Psychometric AI
Introducing Psychometric AI

... Many critics of Emily Bronte’s novel Wurthering Heights see its second part as a counterpoint that comments on, if it does not reverse, the first part, where a “romantic” reading receives more confirmation. Seeing the two parts as a whole is encouraged by the novel’s sophisticated structure, reveale ...
Artificial Intelligence Research Flyer
Artificial Intelligence Research Flyer

... strategically, to predict what the other agents may do based on their presumed self-interests. A multiagent environment is effectively a social system, and thus analyzing multiagent behavior can often be informed by social science. Multiagent systems research at Michigan considers all perspectives, ...
Slovenijo v informacijsko družbo - Department of Intelligent Systems
Slovenijo v informacijsko družbo - Department of Intelligent Systems

... computer science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents." John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines.“ (Turing first?) The field was founded on the claim th ...
The Quest for Computable Knowledge — A Short Timeline
The Quest for Computable Knowledge — A Short Timeline

History of Neural Computing
History of Neural Computing

... History of Neural Computing • McCulloch - Pitts 1943 - showed that a ”neural network” with simple logical units computes any computable function - beginning of Neural Computing, Artificial Intelligence, and Automaton Theory • Wiener 1948 - Cybernetics, first time statistical mechanics model for comp ...
Neural, Fuzzy Expert Systems
Neural, Fuzzy Expert Systems

... With effect from the academic year 2005­2006  ...
Programming and Problem Solving with Java: Chapter 14
Programming and Problem Solving with Java: Chapter 14

... Can be represented using goal trees (or andor trees). Nodes in the tree represent sub-problems. The root node represents the overall problem. Some nodes are and nodes, meaning all their children must be solved. ...
< 1 ... 181 182 183 184 185 186 187 188 189 ... 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