• 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
- CSE PSTU
- CSE PSTU

... Rationale: To build modern IT solutions we need to include artificial intelligence so that it can interact dynamically facilitating customers or optimize the number of employee needed. So every computer science graduate needs sound knowledge in artificial intelligence. Objectives:  To understand in ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... E.g., “Socrates is a man, all men are mortal; therefore Socrates is mortal” ...
Slide 1
Slide 1

... • KnowBuddy can answer some level #5 questions but is currently most competent between levels #3 and #4. – The blood cell question was judged level #3. – A level #5 question near current competence: • Would an animal cell lacking oligosaccharides on the external surface of its membrane have a reduce ...
An Initiative In Improving Knowledge Transfer In
An Initiative In Improving Knowledge Transfer In

... One amongst the key problems in education is the transfer of knowledge. The rapid growth in the engineering knowledge invokes questions such as: how this expanding stock can be efficiently delivered. Simultaneously, an expansion in interdisciplinary communication gives a spurt to requirements for fa ...
artificial intelligence usage in intelligent systems
artificial intelligence usage in intelligent systems

... These modules will process and integrate different knowledge received from several agents and store them into knowledge database, what is a key issue for knowledge sharing between agents and also ensuring distributed learning. ...
KNOWLEDGE REPRESENTATION: SYLLABUS University of
KNOWLEDGE REPRESENTATION: SYLLABUS University of

... The purpose of this course is to discuss and evaluate some major difficulties and constraints for introducing a knowledge representation formalism for different applications. Classical examples of such frameworks are natural language, FOL, Prolog, semantic nets, frames, KL-ONE, formal concept analys ...
Slide 1
Slide 1

... Rich & Knight (1991) classified and described the different areas that Artificial Intelligence techniques have been applied to as follows: ...
Knowledge Representation I
Knowledge Representation I

... Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Addison-Wesley), George F. Luger Smith Barry. Accessed 24th of March, 2013, Ontology: Philosophical and Computational. http: //ontology.buffalo.edu/smith/articles/ontologies.htm Quine WVO. On What There Is. Review of Met ...
UNIT I Introduction: History of AI, Intelligen
UNIT I Introduction: History of AI, Intelligen

... ARTIFICIAL INTELLIGENCE (TCS-603) UNIT I Introduction: History of AI, Intelligent agents – Structure of agents and its functions, Problem spaces and search - Heuristic Search techniques – Best-first search, Problem reduction Constraint satisfaction - Means Ends Analysis. UNIT II Knowledge Representa ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... specific domain can help control search and lead to expert level performance for restricted tasks • First expert system was DENDRAL. It interpreted mass spectogram data to determine molecular structure. Developed by Buchanan, Feigenbaum and Lederberg ...
Some Thoughts to Consider 1
Some Thoughts to Consider 1

... thumb’ that domain experts use to generate good solutions without exhaustive search. This view paved the way for rule-based expert systems. ...
Rule - FUMblog
Rule - FUMblog

...  In order to think, someone or something has to have a brain, or an organ that enables someone or something to learn and understand things, to solve problems and to make decisions. So we can define intelligence as the ability to learn and understand, to solve problems and to make decisions.  The g ...
التاريخ: 16/9/2007 - Philadelphia University Jordan
التاريخ: 16/9/2007 - Philadelphia University Jordan

... - Have an understanding of space search and search algorithms, logic based knowledge representation, of issues in reasoning methods. - Have an understanding of the limitations of current symbolic AI paradigm - Have knowledge of Bayes' Rule and its use in Belief Networks and be able to solve problems ...
What is AI? - faculty.cs.tamu.edu
What is AI? - faculty.cs.tamu.edu

... – behaviorism vs. info-processing metaphor (I/O, internal rep) – connection to language • Sapir-Whorf hypothesis (verbal representations) • concepts, intension/meaning, maps, skills, automation ...
Use of Expert Systems in Non-Life Insurance Any Actuary in non
Use of Expert Systems in Non-Life Insurance Any Actuary in non

... limitations in the use of computer power. Indeed in the insurance world an Actuary is in a unique position to appreciate an overall view and should be heavily involved in the planning of computer systems. The progress of computing in our area over the years has been as follows:(i) (ii) (iii) (iv) ...
What is AI? - TAMU Computer Science Faculty Pages
What is AI? - TAMU Computer Science Faculty Pages

... – connection to language • Sapir-Whorf hypothesis (verbal representations) • concepts, intension/meaning, maps, skills, automation ...
COMP4431 Artificial Intelligence
COMP4431 Artificial Intelligence

... Methodology ...
Organizational Memory and Knowledge Management
Organizational Memory and Knowledge Management

... The companies of the future will live in an environment where markets are continuously shifting, technology proliferating, competitors multiplying, and products become obsolete overnight. In the currently emerging knowledge society, knowledge is seen as the most important success factor. Similar to ...
• Lecture 4- Introduction to AI COMP14112: Artificial Intelligence Fundamentals
• Lecture 4- Introduction to AI COMP14112: Artificial Intelligence Fundamentals

... – Robotics to handle such tasks as object manipulation and navigation, with sub-problems of localization (knowing where you are), mapping (learning what is around you) and motion planning (figuring out how to get there) ...
Artificial Intelligence Fundamentals Lecture 1
Artificial Intelligence Fundamentals Lecture 1

... • Limited computer power: There was not enough memory or processing speed to accomplish anything truly useful • Intractability and the combinatorial explosion. In 1972 Richard Karp showed there are many problems that can probably only be solved in exponential time (in the size of the inputs). • Comm ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... specific domain can help control search and lead to expert level performance for restricted tasks • First expert system was DENDRAL. It interpreted mass spectogram data to determine molecular structure. Developed by Buchanan, Feigenbaum and Lederberg ...
Ch1
Ch1

... The use of meta-level knowledge to effect more sophisticated control of problemsolving strategies. Although this is a very difficult problem, addressed in relatively few current systems, it is emerging as an essential are of research. ...
BCS Higher Education Qualifications  Professional Graduate
BCS Higher Education Qualifications Professional Graduate

... This module is designed to provide an overview of the Artificial Intelligence (AI) field with particular emphasis on knowledge representation. It will be of particular interest to candidates whose work requires them to build intelligent systems although no previous AI experience is expected. As well ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... specific domain can help control search and lead to expert level performance for restricted tasks • First expert system was DENDRAL. It interpreted mass spectogram data to determine molecular structure. Developed by Buchanan, Feigenbaum and Lederberg ...
Document
Document

... Is this a trick question? You said you were how many years old? My guess is that you are really a kid. > What would you like to know about me? Tell me about your educational background. > I am a professor in computer science You are a professor in computer science? How do you like your work? > It’s ...
< 1 ... 125 126 127 128 129 130 131 132 133 135 >

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