• 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
Human Skill - Alex Quinn
Human Skill - Alex Quinn

... computer science problems remain in artificial intelligence, natural language processing, and computer vision. These three fields, which we will collectively refer to as “AI”, roughly define the subset of computer science problems which can often be readily solved by humans. Humans are innately good ...
Case-based Reasoning and Multiple-agent Systems for Accounting
Case-based Reasoning and Multiple-agent Systems for Accounting

... ent situations. In addition, they are useful where solutions can be constructed or modified from altering previous solutions. At the most basic level, making a case-based inference entails a number of different elements (e.g. Kolodner, 1988a). First, the cases them­ selves must be chosen for the use ...
Tyra  - Marina View School
Tyra - Marina View School

... We could chose not to give robots free will. We wouldn’t be able to make them powerful enough. Because there are more humans then robots. If humans invent them they’ll no how to stop them. ...
Is Distributed Connectionism Compatible with the Physical Symbol
Is Distributed Connectionism Compatible with the Physical Symbol

... All existing intelligent systems share a similar biological and evolutionary heritage. Based on the conviction that cognition is computation, artificial intelligence researchers are investigating computational models as a means of discovering properties shared by all intelligent systems. One propert ...
John R. Searle, “Is the brain`s mind a computer program?”
John R. Searle, “Is the brain`s mind a computer program?”

... program, by the way, is what makes computers so powerful. The same program can be run on an indefinite variety of hardwares, and one hardware system can run an indefinite range of computer programs. Let me abbreviate this “axiom” as Axiom 1. Computer programs are formal (syntactic). This point is so ...
1 Beginnings of a revolution
1 Beginnings of a revolution

A Study on Artificial Intelligence IQ and Standard Intelligent Model
A Study on Artificial Intelligence IQ and Standard Intelligent Model

... 1. K is an infinite set, standing for all the knowledge with characteristics and operation laws of the real world. 2. KS is a finite set, KS ⊂ K, standing for the knowledge set that is with characteristics and operation laws of the real world, and currently shared by all the intelligent systems 3. ...
CMSC 723: Introduction to Computational Linguistics
CMSC 723: Introduction to Computational Linguistics

... speech tagging, parsing, word sense disambiguation, etc. Comparison of stochastic, symbolic, more or less powerful models for language understanding and learning tasks. ...
New Frontier in Informatics and Systems
New Frontier in Informatics and Systems

... Having in mind applications to artificial intelligence, pattern recognition, data mining, and digital communication theory, we pursue various problems such as probability-based inference and learning theory, that allows us to extract meaningful information out of uncertain environments, statistical- ...
CV - Stephen G. Ware
CV - Stephen G. Ware

... Stephen G. Ware is an Assistant Professor of Computer Science at the University of New Orleans where he directs the Narrative Intelligence Lab and oversees the Game Development Concentration. Prof. Ware’s research applies artificial intelligence techniques to model and reason about narratives, espec ...
Artificial General Intelligence through Large
Artificial General Intelligence through Large

... The first thing to note is that we will be satisfied with approximate inference methods, even if they do not provide bounds on the quality of the approximation — we will be able to judge if we are doing well enough based on how well the system answers queries. The major approaches to approximate inf ...
Use of Artificial Intelligence in Real Property Valuation
Use of Artificial Intelligence in Real Property Valuation

... The field of artificial intelligence has developed very rapidly as computing power has increased. Artificial intelligence refers to the ability to perform the intelligent functions of the human brain. Various artificial intelligence techniques include ANN, fuzzy logic, neuro- fuzzy, genetic algorith ...
CV - Stephen G. Ware
CV - Stephen G. Ware

... Stephen G. Ware is an Assistant Professor of Computer Science at the University of New Orleans where he directs the Narrative Intelligence Lab and oversees the Game Development Concentration. Prof. Ware’s research applies artificial intelligence techniques to model and reason about narratives, espec ...
Brief Introduction to Educational Implications of Artificial Intelligence
Brief Introduction to Educational Implications of Artificial Intelligence

... There is a huge amount of published research and popular literature in the field of AI (Artificial Intelligence-a & b, n.d.; Minsky 1960; AI Journals & Associations, n.d.). John McCarthy coined the phrase Artificial Intelligence as the topic of a 1956 conference held at Dartmouth (Buchanan, n.d.). H ...
Educators` Introduction to Machine Intelligence
Educators` Introduction to Machine Intelligence

... There is a huge amount of published research and popular literature in the field of AI (Artificial Intelligence-a & b, n.d.; Minsky 1960; AI Journals & Associations, n.d.). John McCarthy coined the phrase Artificial Intelligence as the topic of a 1956 conference held at Dartmouth (Buchanan, n.d.). H ...
Artificial life - The University of Texas at Dallas
Artificial life - The University of Texas at Dallas

... in [20,21]). Self-replication is not sufficient for life, of course, and Langton-style self-replicating configurations seem more like growing crystals than living organisms because they are unable to evolve. Sayama has overcome that limitation by creating self-replicating cellular automata that evol ...
Special Issue of Artificial Intelligence and Law in Honor of Carole
Special Issue of Artificial Intelligence and Law in Honor of Carole

Design of an Online Course on Knowledge-Based
Design of an Online Course on Knowledge-Based

... Example: Each of the ~25 lessons begins with an example of a real-world task for which we want to build an AI agent. This example is then used throughout the explanation of the method in that lesson to tie the method back to a particular practical problem. S2 - Learning by Doing: Each lesson include ...
Realizing an Optimization Approach Inspired from Piaget`s Theory
Realizing an Optimization Approach Inspired from Piaget`s Theory

... real-world problems, are widely designed thanks to technological developments and improvements. On the other hand, multidisciplinary interactions also have an important role on designing new solution approaches, methods, or techniques for specific fields. When we focus more on recent scientific work ...
The Turing Test
The Turing Test

... Justin Leiber on why the Turing Test is important Turing was adamant for just that reason that what counts could only be that a real mechanism should REALLY PASS the test.  In everyday life, in law, in science, and in myth that the Turing Test is surely a natural  Turing Test is a reasonably deta ...
Designing an Automated Negotiator: Learning What to Bid and
Designing an Automated Negotiator: Learning What to Bid and

... is studied by various disciplines, ranging from economics and game theory [15], to electronic commerce [9], social psychology, and artificial intelligence [10, 12]. Traditionally, negotiation is a necessary, but also timeconsuming and expensive activity. Therefore, in the last decades there has been ...
Call for Participation - Association for the Advancement of Artificial
Call for Participation - Association for the Advancement of Artificial

... evaluating, indexing, structuring, extracting, and presenting knowledge used to improve an organization’s productivity. Knowledge management systems should unobtrusively collect knowledge as work is being completed and present knowledge in a just-in-time fashion for effective problem solving. Knowle ...
BBA205 - SMU Assignments
BBA205 - SMU Assignments

... Application and systems used in E-communication In e-business world, e-communication system is a backbone of all processes whose role is to share information by messages or store information to be downloaded on access by the customer. This is done through many applications and systems. Most popular ...
Managing Knowledge
Managing Knowledge

... – 50,000 shipments of heavy freight each night – across 25 states ...
PROBLEM-SOLVING METHODS ARTIFICIAL
PROBLEM-SOLVING METHODS ARTIFICIAL

... D. Michie and others have edited a series of books called Machine Intelligence These contain papers delivered at the Machine Intelligence Workshops held annually ...
< 1 ... 92 93 94 95 96 97 98 99 100 ... 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