• 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
KM Strategy - Stellar Leadership
KM Strategy - Stellar Leadership

... Description of knowledge-based business issues:Collaboration Performance variance Innovation Address information overload Inventory of knowledge resources Knowledge Social Infrastructure Recommended knowledge leverage points: How to collect and exploit (good practice, lessons learned) How to store f ...
11th International Conference on Intelligent Systems and
11th International Conference on Intelligent Systems and

... Jiaotong University, China, University of Technology, Sydney, Australia. ISKE 2016 emphasizes current practice, experience and promising new ideas in the broad area of intelligent systems and knowledge engineering. ISKE2016 accepts submissions that have not been published or submitted in any form el ...


... achieving the optimal solution. The presented methodology in this book is an applicable approach for input variable selection in multi-input simulators of expert systems. Conventional computing programs characterize through an algorithm approach as the specialists called it. This approach allows sol ...
JunlClub_June13 - Mouse Genome Informatics
JunlClub_June13 - Mouse Genome Informatics

... GO represents function from the gene’s eye view, in relation to a large and growing context of biological knowledge at all levels. Focus is on representing the structure and context of general biological knowledge. Pathway ontologies represent function from the point of view of biochemical reactions ...
Some Approaches to Knowledge Acquisition
Some Approaches to Knowledge Acquisition

... knowledge source into a program. In our research, we have identified three different stages of knowledge acquisition and are examining different kinds of learning appropriate to each stage. We have given the chess labels of the “opening,” “middle game,” and “end game” to these stages (see Chapter 5 ...
Over two decades of innovative applications of AI at AIAI
Over two decades of innovative applications of AI at AIAI

... knowledge assets - management of knowledge assets  Intelligent Interfaces - dynamic creation of content relevant to context - model-driven visualisations  Intelligent Virtual Worlds - collaborative work spaces - virtual collaboration centres - intelligent virtual assistants ...
Datasheet (0.1MB PDF File)
Datasheet (0.1MB PDF File)

... knowledge assets - management of knowledge assets ⎯ Intelligent Interfaces - dynamic creation of content relevant to context - model-driven visualisations ⎯ Intelligent Virtual Worlds - collaborative work spaces - virtual collaboration centres - intelligent virtual assistants ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... Introduction ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... Introduction ...
Expert System
Expert System

... An Expert System is a program that has access to a large database or knowledge about one particular subject. ...
NEW TRENDS IN NEUROCYBERNETICS
NEW TRENDS IN NEUROCYBERNETICS

... effectively used by engineers and scientists in order to solve various problems (Tadeusiewicz, 2009) and, therefore, it is worth having a look at the current prospects of the field of knowledge that created these networks. Presently, this field is commonly known as neurocybernetics. Its name combine ...
Advance applications of Artificial Intelligence
Advance applications of Artificial Intelligence

... The development of natural interfaces is a major examples to recognize dogs and exhibit some area of AI applications and is essential to the capability for generalization beyond the training natural use of computers by humans. The data. development of natural languages and speech recognition are maj ...
Evidential Reasoning Under Uncertainty
Evidential Reasoning Under Uncertainty

... One can hardly identify a field in AI that doesn't use some sort of evidential reasoning. namely, processes leading from evidence or clues to guesses and conclusions under conditions of partial information. Therefore, to avoid having to cover the entire field of AI, the topic will be limited to evid ...
1 Title: Machine learning/Artificial intelligence for Prediction in
1 Title: Machine learning/Artificial intelligence for Prediction in

... projects about Robot Companions for Elderly Care and/or Prediction and Coordination for Robots and Interactive Music. They are both concerned with applying machine learning/ artificial intelligence for analyzing multi-sensor systems to train behavior models of both robots and human users for predict ...
Artificial Intelligence and Multi
Artificial Intelligence and Multi

... • able to interact into a network (of possible 0 nodes): »Multi-agent systems (interaction centred approach) • A very useful paradigm to the deployment of inherently complex (no-structured) applications in inherently distributed environments • Heterogeneous agents in any kind of organization or soci ...
ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS

... 2. What is the Turing test? The Turing test is designed to determine whether a computer exhibits intelligence. A computer can be considered smart only when a human interviewer cannot identify the computer while conversing with both an unseen human and a computer. 3. What do we mean by inferencing? I ...
Artificial  Intelligence  Prepares for  2001
Artificial Intelligence Prepares for 2001

... are right, the way AI will develop as a science might be entirely different than the way I have described. Although it may still be a bit too early to tell how this will all work out, it seems that the people who are pursuing formal approaches to dealing with this challenge are making good progress, ...
COMP5511 Artificial Intelligence Concepts
COMP5511 Artificial Intelligence Concepts

... This subject aims to introduce the main concepts, ideas and techniques of artificial intelligence (AI) to the students so that they could know the various aspects of AI, understand some essential principles and are able to implement some basic AI techniques in their projects or other related work. ...
Managing Knowledge
Managing Knowledge

... • Dispatcher tweak the routing plan provide by the expert system ...
Artificial Intelligence Artificial Intelligence is the field of study
Artificial Intelligence Artificial Intelligence is the field of study

... • Target Recognition from video and/or infrared image data • Detect fraudulent credit card transactions ...
EXPERT SYSTEMS (contd.)
EXPERT SYSTEMS (contd.)

... 2. Benefits : Many can share and interact in same environment. It is powerful medium for communications, collaborative entertainment, and learning. 3. Business Applications : (a) Manufacturing : Training, designing, testing, simulation of assembly and production, (b) Transportation : Virtual aircraf ...
Controlled Language for Knowledge Representation
Controlled Language for Knowledge Representation

... by a natural language processing system. At present, these dialects are likely to be somewhat restricted in expressiveness by comparison with other types of controlled language, but even at the current state of the art, a natural language system like the Core Language Engine (Alshawi (ed) 1992) is c ...
Artificial Intelligence CIS 342
Artificial Intelligence CIS 342

... Provides basis for verification and validation of intelligent systems A program thought intelligent in some narrow area of expertise is evaluated by comparing its performance to human performance ...
Knowledge Representation
Knowledge Representation

... Semantic Networks (etc) and Logic • How do we precisely define the semantics of a frame system or semantic network? • Modern trend is to have special knowledge representation languages which look a bit like frames to users, but which: • use logic to define what relations mean • don’t provide the fu ...
Virtual Program Modules of AI Systems
Virtual Program Modules of AI Systems

... with comparable capabilities. And nearly all complicated problems require most of these techniques. Systems that reason and choose appropriate courses of action can be faster, cheaper, and more effective and viable than rigid ones. AI can be considered to be the top layer of control on the hierarchi ...
< 1 ... 115 116 117 118 119 120 121 122 123 ... 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