• 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
Artificial intelligence in electric power systems: a survey of the
Artificial intelligence in electric power systems: a survey of the

... industry, manufacturers, universities and the government have taken a focused goal-oriented approach in this regard. The author has studied the Japanese involvement in this field and visited eight Japanese R&D laboratories, where he discussed the AI and expert system related activities (in the power ...
Artificial Intelligence, Second Edition
Artificial Intelligence, Second Edition

... For any phenomenon, you can distinguish real versus fake, where the fake is non-real. You can also distinguish natural versus artificial. Natural means occurring in nature and artificial means made by people. Example 1.1 A tsunami is a large wave in an ocean. Natural tsunamis occur from time to time ...
Introduction to AI Hal Daumé III Computer Science University of Maryland
Introduction to AI Hal Daumé III Computer Science University of Maryland

... slipped and fell in the river. Gravity drowned. The End. Once upon a time there was a dishonest fox and a vain crow. One day the crow was sitting in his tree, holding a piece of cheese in his mouth. He noticed that he was holding the piece of cheese. He became hungry, and swallowed the cheese. The f ...
IOSR Journal of Computer Engineering (IOSR-JCE)
IOSR Journal of Computer Engineering (IOSR-JCE)

... suspicion are also presented. When a woman noticed the signs and symptoms of UCs after or before menopause, she needs to visit the physician immediately. During the assessment of UC suspicion, a physician makes physical and pelvic investigation, as well as talk to the patient to know the signs and s ...
A Framework for Decision-Theoretic Planning 1: Combining
A Framework for Decision-Theoretic Planning 1: Combining

... http://www.cs.ubc.ca/spider/poole ...
Recent advances in computational models of natural argument
Recent advances in computational models of natural argument

... introduced in Refs. 7 and 8 have more recently been used in components of a more general solution to the frame problem in the context of “cognitive robotics.” 9 What is remarkable is that each of these apparently different techniques ~and therefore their many modern descendants! have been brought to ...
Artificial Participation: An Interview with Warren Sack
Artificial Participation: An Interview with Warren Sack

... Artificial Participation: An Interview with Warren Sack* Warren Sack & Joseph Dumit Preface: Recently I was talking with a friend, relating an incident that had happened to me when my word processing program froze, when I realized with a start that I had had the exact same conversation, word for wor ...
Expertise, Task Complexity, and the Role of Intelligent Information
Expertise, Task Complexity, and the Role of Intelligent Information

... the system be reduced? How far can the task complexity facing the user be reduced by lessening the complexity and/or by moving it away from the user into the system? How costly are the deleterious consequences of any given level of task complexity? A variety of improvements can readily be imagined. ...
Artificial Participation: An Interview with Warren Sack* Preface: Joseph Dumit
Artificial Participation: An Interview with Warren Sack* Preface: Joseph Dumit

... Preface: Recently I was talking with a friend, relating an incident that had happened to me when my word processing program froze, when I realized with a start that I had had the exact same conversation, word for word, with another friend, Warren Sack, the day before. The weird thing was, I could no ...
Event+Causality+Extraction+from+Natural+Science+Literature
Event+Causality+Extraction+from+Natural+Science+Literature

... Existing corpus-based approaches to causality extraction use distributional characteristics of events, like co-occurrence features, object-sharing features, temporal features, distance features and so on. Machine learning based approaches are more robust than rule-based approaches and require less l ...


... The concept of medical procedure refers to the set of activities carried out by the health care professionals to solve or mitigate the health problems that affect a patient. Decisions making within a medical procedure has been, for a long time, one of the most interesting research areas in medical i ...
A Review of Machine Learning Algorithms for Text
A Review of Machine Learning Algorithms for Text

... (supervised, unsupervised and semi supervised) and summarization. However how these documented can be properly annotated, presented and classified. So it consists of several challenges, like proper annotation to the documents, appropriate document representation, dimensionality reduction to handle a ...
A Intelligent crawling on the World Wide Web with
A Intelligent crawling on the World Wide Web with

... Our knowledge of the event E may increase the probability that the web page satisfies the predicate. When the event E is favorable to the probability of the candidate satisfying the predicate, then the interest ratio I(C,E) is larger than 1. ...
Final Year Project Proposals (Academic Year 2016-17)
Final Year Project Proposals (Academic Year 2016-17)

... The idea behind this project is to create an Augmented Reality framework (similar to http://www.motive.io/) capable of creating animated 3D environments. The framework should allow people to create their own AR environments inclusive of sounds using an AR editor and Geo-Locations. The AR used is mar ...
cached
cached

... answered questions) prior to satisfactory case retrieval (Aha et al., 1998). With this goal in mind, Gupta (2001) introduced a Taxonomic CCBR approach that re-structures cases into a set of taxonomies, one per factor, that, by adapting to the user’s level of abstraction, can more quickly focus case ...
Alan Turing and the development of Artificial Intelligence
Alan Turing and the development of Artificial Intelligence

... AI research institute) in the 1980s in Glasgow. Michie specifically chose topics for the Machine Intelligence workshops which were closely related to those which he and Jack Good had discussed with Turing during the war. Indeed Jack Good was a frequent contributor to the series on Turinginspired top ...
A SURVEY OF THE APPLICATION OF MACHINE LEARNING IN
A SURVEY OF THE APPLICATION OF MACHINE LEARNING IN

... published from 1990 to 2005 in terms of DSS research, regarding the underlying methodical and theoretical foundations and the application of Design Science Research (DSR) in DSS development. The results reveal that almost half of the investigated articles do not refer to judgment and decision-making ...
doc - John L. Pollock
doc - John L. Pollock

... beings know about the world is many orders of magnitude smaller than what is true of the world. And the knowledge we lack is both of individual matters of fact and of general regularities holding in the world. In light of our pervasive ignorance, we cannot get around in the world just forming belief ...
Slide - NYU Computer Science
Slide - NYU Computer Science

... (isolated) verification tasks to the context of (evolutionary) verification process This requires the development of a formal framework that can adapt to and express the evolution of ...
Contextualizing Reflective Dialogue in a Spoken Conversational Tutor
Contextualizing Reflective Dialogue in a Spoken Conversational Tutor

... ordinary classroom setting (Bloom, 1984). In attempts to emulate the effectiveness of human tutors, many developers of intelligent tutoring systems have begun incorporating natural language dialogue into their tutorial systems. While much of this work has focused on using natural language dialogue d ...
Distributed multi-agent probabilistic reasoning with Bayesian networks
Distributed multi-agent probabilistic reasoning with Bayesian networks

... may be spatial, temporal, or semantic (elements are specialized differently) [1]. ...
A Logical Framework for Default Reasoning
A Logical Framework for Default Reasoning

... the power, or change the semantics of the system. We then discuss how to use the name to solve multiple extension problems. The use of naming is very closely related to McCarthy’s abnormality predicate [McCarthy86], and indeed the translation is similar to that of [Grosof84] and the use of the AP P ...
Quantitatively Evaluating Formula-Variable Relevance by
Quantitatively Evaluating Formula-Variable Relevance by

... after forgetting p, i.e. ψ ≡ ForgetVar(ψ, p). This extreme case is equivalent to the “binary” definition of independence which is proposed in the existing literature [2]. If the model set of ForgetVar(ψ, p) changes a lot after the forgetting operation, we can say that the formula ψ is more relevant ...
INTELLIGENT DECISION-SUPPORT SYSTEM - Meta
INTELLIGENT DECISION-SUPPORT SYSTEM - Meta

... T.L. Dean, Reasoning about the effects of actions in automated planning systems D.P. Miller, A task and resource scheduling system for automated planning F. Glover and H.J. Greenberg, Logical testing for rule-base management J.N. Hooker, Generalized resolution and cutting planes D. Klingman, R. Padm ...
Week10-BUAD283-Chp04
Week10-BUAD283-Chp04

... emphasizes sharing and flow of information A type of decision support system that facilitates the formulation of and solution to problems by a team A GDSS helps a team to generate ideas, identify strengths and weaknesses, choose an alternative, and reach a consensus ...
< 1 ... 10 11 12 13 14 15 16 17 18 ... 135 >

Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report