• 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
Intellectual development statement
Intellectual development statement

... reasonable voting rule suffers from the problem that a voter can benefit from manipulating in some cases.2 One line of research in the computational social choice community studies whether finding such opportunities for manipulation can be made computationally hard, so that even though they must exi ...
Expert Systems in Law and the Representation of Legal Knowledge
Expert Systems in Law and the Representation of Legal Knowledge

... language is needed. The inference engine is forward-chaining and enables actions other then inferences, such as calculus or database interactions. The search tree is swept breadth first, which means that all the solutions are found. It is a monotonous inference engine: the inferences cannot be extra ...
Chapter 2 : Cognitive Neuroscience
Chapter 2 : Cognitive Neuroscience

... • Differs from one culture to another • Critical in one culture may be unimportant in another culture • Measurement of intelligence will be influenced by culture ...
I Agents, Bodies, Constraints, Dynamics, and Evolution Alan K. Mackworth
I Agents, Bodies, Constraints, Dynamics, and Evolution Alan K. Mackworth

... Figure 2. A Sudoku Puzzle. ...
PDF file
PDF file

... programmed. The amount of work in the education we can assume, as a first approximation, to be much the same as for the human child.” However, there was a severe lack of computer controlled machinery, during his time when the first electronic computer Colossus had just been finished. Turing suggeste ...
1 WEATHER PREDICTION EXPERT SYSTEM
1 WEATHER PREDICTION EXPERT SYSTEM

... Weather prediction is a complicated procedure that includes multiple specialized fields of expertise. “There are only two methods to predict weather: the empirical approach and the dynamical approach” (Lorenz 19) [1]. Lorenz thus separated weather forecasting methodologies into two main branches in ...
Why Heideggerian AI Failed and how Fixing it would Require
Why Heideggerian AI Failed and how Fixing it would Require

... intelligence: to solve problems, to understand natural language, to perceive, and to learn.”1 In 1968 Marvin Minsky, head of the AI lab, proclaimed: “Within a generation we will have intelligent computers like HAL in the film, 2001.”2 As luck would have it, in 1963, I was invited by the RAND Corpora ...
What is “formal logic”? - Jean
What is “formal logic”? - Jean

... The distinction between formal sciences and empirical sciences may appear simple and obvious, but in fact it is based on a philosophical theory mainly due to Kant related to his famous analytic/synthetic distinction, which nowadays may sound quite obsolete. According to this distinction, formal scie ...
Combining satisfiability techniques from AI and OR
Combining satisfiability techniques from AI and OR

... then begin to suspect that the person across from you, who you thought was working on the blue sky, might in fact have some of the red pieces you need to finish your section. It is also likely that you have some of their missing pieces. The obvious solution is to have a look at their pieces and see ...
Understanding Computers, 11/e, Chapter 12
Understanding Computers, 11/e, Chapter 12

... Design and manufacturing systems (use computers to automate the design or manufacturing process  Computeraided design (CAD)  Computeraided manufacturing (CAM) ...
Understanding New Metaphors
Understanding New Metaphors

... The italicized words in these examples are common English words with many polysemous senses. The theory predicts that the meanings of these words in the UNIX domain will be related to their other polysemous senses by one or more of the known regularities. The system was implemented and tested as a c ...
Expressive AI - School of Engineering
Expressive AI - School of Engineering

... behaviors which render descriptions of events as a function of the subjective state. For example, imagine that the player-character (the character controlled by the human user) is afraid of a character named Barry. Barry, a manager in a fast food restaurant, is about to chew out the player. Without ...
GQR: A Fast Solver for Binary Qualitative Constraint Networks
GQR: A Fast Solver for Binary Qualitative Constraint Networks

... A (binary) constraint network is defined by a set of variables taking values in a given domain and a family of binary constraint relations between pairs of variables (on this domain). The constraint satisfaction problem is to determine for a given constraint network, whether there exists an assignme ...
Planning with Specialized SAT Solvers
Planning with Specialized SAT Solvers

... at 2.00 GHz with a minimum of 4 GB of main memory and using only one CPU core. We ran our planner for all of the problem instances, giving a maximum of 300 seconds for each instance. The runtime includes all standard phases of a planner, starting from parsing the PDDL description of the benchmark an ...
Fortnightly Thoughts
Fortnightly Thoughts

... intelligence exhibited by machines or software. By this we mean machines which can think, which are able to not just process data into information, but also derive knowledge from that information to augment human decision making or to act independently. It is difficult to draw a line between AI and ...
View CV - Learning Research and Development Center (LRDC)
View CV - Learning Research and Development Center (LRDC)

... Research Interests: My research interests in learning, law, and computer science are to: (1) Develop computational models of case-based reasoning (CBR) and argumentation in domains like law and practical ethics to better understand decision-making and as a basis for intelligent systems to educate st ...
The Dynamical Hypothesis in Cognitive Science: A review essay of
The Dynamical Hypothesis in Cognitive Science: A review essay of

... interested in an general understanding of the dynamical-systems approach to cognition. This is the first significant difficulty with Mind As Motion. The second is that the authors, in seeking to apply the tools of dynamical systems, often analyze physical quantities that one has difficulty identifyi ...
TSTP Data-Exchange Formats for Automated Theorem Proving Tools
TSTP Data-Exchange Formats for Automated Theorem Proving Tools

... As ATP systems move into real application areas, they are typically embedded as just one component in a larger system, including tools for proof analysis, transformation, presentation, and verification. In this environment, the output from one tool is often used as input to another. It is therefore ...
Anthropomorphism and the social robot
Anthropomorphism and the social robot

... be whether a system is fundamentally intelligent but rather if it displays those attributes that facilitate or promote people’s interpretation of the system as being intelligent. In seeking to propose a test to determine whether a machine could think, Alan Turing came up in 1950 with what has become ...
Artificial Intelligence
Artificial Intelligence

... states? integer dirt and robot location actions? Left, Right, Suck goal test? no dirt at all locations path cost? 1 per action ...
Expertise, Task Complexity, and the Role of Intelligent Information
Expertise, Task Complexity, and the Role of Intelligent Information

... greater systems expertise (moving left). (b) The feasibility of increasing the user’s subject expertise (i.e. to move a user upwards) and/or of increasing the user’s systems expertise (i.e. a move to the left). (c) The most cost-effective ways of increasing expertise in either direction. The answers ...
Intelligent Virtual Environments - A State-of-the
Intelligent Virtual Environments - A State-of-the

... as an alternative to physical simulation - enhancing interactivity, i.e. by recognising user interaction in terms of high-level actions to determine adaptive behaviour from the system Though IVRS have been in development for the past few years, they are still to be considered an emerging technology ...
Rule-Based Expert Systems
Rule-Based Expert Systems

... • Grades will be out by March 15, before spring break. ...
Comprehensive Introduction to Intelligent Software Agents for
Comprehensive Introduction to Intelligent Software Agents for

... Artificial intelligence is the automation of activities that we associate with human thinking and activities such as decision making, problem solving, learning and so on. Those trying to make artificial intelligence work over the past 40 or so years have had limited success. But that is changing. Bo ...
Magnifico: A Platform For Expert Mining Using Metadata
Magnifico: A Platform For Expert Mining Using Metadata

... [6]. Therefore, the discipline probability vector of a publication could be seen as that of the words appearing in that publication. Afterwards we measure the importance of each word for a given sub-discipline using the term frequency of that word occurring in the specific sub-discipline. For every ...
< 1 ... 34 35 36 37 38 39 40 41 42 ... 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