• 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
Printable
Printable

... The most basic instance-based method is k-nearest neighbor. ...
Knowledge Generation as Natural Computation
Knowledge Generation as Natural Computation

... What is typical of all of the above mentioned intelligence augmenting technologies, from the perspective of theoretical computing, is that they are highly interactive and thus do not resemble Turing Machines. If we have an ambition to be able to develop the theory of the Semantic Web, we must also g ...
Intro to AI - UMD Department of Computer Science
Intro to AI - UMD Department of Computer Science

... We will focus on the rational agents (“engineering”) paradigm Make computers act more intelligently Three major components: ...
Knowledge Representation - Computer and Information Science
Knowledge Representation - Computer and Information Science

... Instructor : M. Meyer ...
Law - The IEEE Standards Association
Law - The IEEE Standards Association

... into concrete legal challenges—or they give rise to difficult collateral legal problems. Every ethical issue, at some level of generality, implicates some related legal issue. For instance, the classic “trolley problem” from philosophy has translated into the very urgent need to decide what is legal ...
Document
Document

... The Turing Test, they argue, can demonstrate weak equivalence, but not strong. So even if a computer passes the test we won’t be able to say that it thinks like a human. Of course, neither they, nor anyone else, can explain how humans think! So strong equivalence is a nice theoretical construction, ...
Trends in Artificial Intelligence and Artificial Life - UTK-EECS
Trends in Artificial Intelligence and Artificial Life - UTK-EECS

... (hardware) is fundamentally different from that in brains (wetware) • The flexible, context-sensitive cognition we associate with human intelligence depends on the physical properties of biological neurons • Therefore, true artificial intelligence requires sufficiently brain-like computers ...
Trends in Artificial Intelligence and Artificial Life
Trends in Artificial Intelligence and Artificial Life

... (hardware) is fundamentally different from that in brains (wetware) • The flexible, context-sensitive cognition we associate with human intelligence depends on the physical properties of biological neurons • Therefore, true artificial intelligence requires sufficiently brain-like computers ...
Artificial Intelligence in the Oilfield: A Schlumberger Perspective
Artificial Intelligence in the Oilfield: A Schlumberger Perspective

... problem. In fact, OSR nets were suggested by the field engineers themselves. The network presentation shown here is essentially the editing interface given to the field engineers. It is what they have thus far used themselves to construct the LQMS knowledge base–––some 2,000 classes that encode qual ...
Data Entry Protocol and File Format
Data Entry Protocol and File Format

... The Loebner Prize Medal and cash award is presented annually to the designer of the computer system that best succeeds in passing a variant of the Turing Test. The Loebner Prize Competition in Artificial Intelligence was established in 1990 by Hugh Loebner and was first held at the Boston Computer M ...
Rule - FUMblog
Rule - FUMblog

... IF … THEN type rules reasonably close to human reasoning can be manipulated by computers appropriate granularity  knowledge “chunks” are manageable both for humans and for computers ‫دكتر كاهاني‬-‫سيستمهاي خبره و مهندسي دانش‬ ...
AI & ES PowerPoint Handouts
AI & ES PowerPoint Handouts

... Provide expertise that is expensive or rare Develop a solution faster than human experts can Provide expertise needed for training and development to share the wisdom of human experts with a large number of people ...
Expert systems have not lived up to expectations and have not
Expert systems have not lived up to expectations and have not

... Profiling: In knowledge management systems, it is generating a graphic or textual representation of people in terms of criteria such as skills, personality traits, etc. Repository is a storage subsystem, such as a database for data, information, or knowledge storage. Collaborative Intelligence provi ...
Improvisation without Representation: Artificial Intelligence and Music
Improvisation without Representation: Artificial Intelligence and Music

... Among other benefits, the approach described above provides a means of achieving an important balance: it prevents system output that is apparently unrelated to the human partner’s contribution, but it also avoids a complete mirroring of the human performance. With interactive systems for freely imp ...
This article will discuss what artificial intelligence is and
This article will discuss what artificial intelligence is and

... abstract and difficult to know. However, this is what AI is, at least recently. AI need flexibility when it compute (or think/consider). And so does the ability to study unknown stuff instead of get a fixed response to each certain command. In this case, it is hard to figure out what the eventual go ...
aaai-final ack - University of Southern California
aaai-final ack - University of Southern California

... A cognitive architecture embodies a hypothesis concerning the fixed structures underlying intelligent behavior, whether in natural or artificial systems. One of their core applications is building lifelike characters, called virtual humans, capable of understanding and generating speech and natural ...
Introduction
Introduction

... Planning and scheduling algorithms will do so. Works quite well even though but we have no idea of how a human brain actually creates such sequences. I.e., we viewed the task of generating the sequence of actions as an information processing task optimizing a certain objective or “utility” function ...
Beyond the Turing Test - Stanford Vision Lab
Beyond the Turing Test - Stanford Vision Lab

... Grosz’s challenge would pair computers with people in group activities, such as formulating health care plans, to test whether people overlook that their partners aren’t human. Many more research challenges will be debated at the workshop, aimed at capabilities from long-term learning to creativity. ...
Intelligence - Barbara Hecker
Intelligence - Barbara Hecker

... o Biomimicry – learning from ecosystems and adapting their characteristics to human and organizational situations o Used to 1. Learn how people-based systems behave 2. Predict how they will behave under certain circumstances 3. Improve human systems to make them more efficient and effective ...
Document
Document

... Faster and more consistent than an expert Can contain knowledge of multiple experts Does not get tired or distracted Cannot be overworked or stressed Helps preserve and reproduce the knowledge of human experts ...
(pdf)
(pdf)

... self-driving cars) / physical robot or software robot (e.g. an electronic trading system)) This course is about designing rational agents •  For any given class of environments and tasks, we seek the agent (or class of agents) with the best performance •  Caveat: computational limitations may make p ...
Introduction - Cornell Computer Science
Introduction - Cornell Computer Science

... Knowledge Representation – to store and manipulate information (logical and probabilistic representations) Automated reasoning / Inference – to use the stored information to answer questions and draw new conclusions Machine Learning – intelligence from data; to adapt to new circumstances and to dete ...
CS 4700: Foundations of Artificial Intelligence
CS 4700: Foundations of Artificial Intelligence

... self-driving cars) / physical robot or software robot (e.g. an electronic trading system)) This course is about designing rational agents •  For any given class of environments and tasks, we seek the agent (or class of agents) with the best performance •  Caveat: computational limitations may make p ...
ONLINE JAVA COMPILER research paper.docx
ONLINE JAVA COMPILER research paper.docx

... render. We can generate assemblies dynamically at runtime and execute. It was assume that the user will use his/her favorite text editor to create and correct programfiles. This assumption allowed to create very simple front end that loads quickly and is platform independent. Although the frontend i ...
alan turing and the
alan turing and the

... Newman: I should like to be there when your match between a man and a machine takes place, and perhaps to try my hand at making up some of the questions. But that will be a long time from now, if the machine is to stand any chance with no questions barred? Turing: ...
< 1 ... 61 62 63 64 65 66 67 68 69 ... 98 >

Human–computer interaction

Human-computer interaction (HCI) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers. Researchers in the field of HCI both observe the ways in which humans interact with computers and design technologies that let humans interact with computers in novel ways.As a field of research, Human-Computer Interaction is situated at the intersection of computer science, behavioral sciences, design, media studies, and several other fields of study. The term was popularized by Stuart K. Card and Allen Newell of Carnegie Mellon University and Thomas P. Moran of IBM Research in their seminal 1983 book, The Psychology of Human-Computer Interaction, although the authors first used the term in 1980 and the first known use was in 1975. The term connotes that, unlike other tools with only limited uses (such as a hammer, useful for driving nails, but not much else), a computer has many uses and this takes place as an open-ended dialog between the user and the computer. The notion of dialog likens human-computer interaction to human-to-human interaction, an analogy the discussion of which is crucial to theoretical considerations in the field.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report