• 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
CS325 ARTIFICIAL INTELLIGENCE
CS325 ARTIFICIAL INTELLIGENCE

... State of the art • NASA's Mars Rover landed in 2004 and now! • IBM's Watson won Jeopardy! in 2008 • Deep Blue defeated the reigning world chess champion Garry Kasparov in 1997 • Proved a mathematical conjecture (Robbins conjecture) unsolved for decades • No hands across America (driving autonomousl ...
Intelligent Systems - Teaching-WIKI
Intelligent Systems - Teaching-WIKI

... • KB contains a model represented in a (logical) formalism which can be interpreted by an interpreter (inference engine) that is able draw conclusions from it. • KBs typically capture knowledge of a domain. • Methodologies for the development of KBS: e.g. CommonKADS • Examples: CYC – One of the firs ...
File - Computers in Manufacturing Enterprise (MEL 423)
File - Computers in Manufacturing Enterprise (MEL 423)

... traditionally solved by human experts  cost effective consultant  explains reasoning behind any solutions it finds  able to learn from experience ...
1 Introduction to Computational Intelligence
1 Introduction to Computational Intelligence

... and thus practically relevant representatives of this kind are artificial neural networks (Haykin 2008), evolutionary algorithms (Rozenberg et al. 2012) ant colony optimization (Dorigo and Stützle 2004). Many ideas and principles in the area of artificial neural networks are inspired by neuroscience ...
Professor Toby Walsh
Professor Toby Walsh

... arms race of ‘killer robots’. And Stephen Hawking and others have predicted that AI could end humanity itself. What should ...
ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE

... maximize goal achievement, given the available information ...
P80-1034
P80-1034

... believe that, for better or worse, this discipline will have a major and continuing influence on our research community. The public at large tends, often unfairly, to view a science through the products and concrete results it produces, rather than through the mysteries of nature it reveals. Thus, t ...
Knowledge Generation as Natural Computation
Knowledge Generation as Natural Computation

... seen as based on several levels of data processing (Goertzel) [11, 12] in a cognizing agent: Information (sensory data processed by an agent) can be understood as an interface between the data (world) and an agent’s perception of that world. Patterns of information should thus be attributed both to ...
21st-Century AI
21st-Century AI

... contradictions between different NL sentences in an object-oriented design.7 In the 1980s, such software would have only been found in science fiction. But in the 21st century, the Richards team had very little NL processing to implement. They just added (for example) negotiation tools to standard N ...
Expert Systems in Real world Business
Expert Systems in Real world Business

... people. Those skills include the use of reason and logic to make simple and complicated decisions. They also include the capability to recognize speech, speak and understand natural language, respond to verbal and written messages and recognize patterns. Artificial intelligence can even be said to b ...
Frameworks for Intelligent Systems
Frameworks for Intelligent Systems

... Early work on games like chess, one of AI’s original challenge problems, led to many insights about representation and search. •  In 1957, Herbert Simon predicted that “within ten years, a computer will be the world’s chess champion”. •  Simon’s prediction was too optimistic, but only his timing was ...
Ontological Issues in GALEN-manuscript-rector-1
Ontological Issues in GALEN-manuscript-rector-1

... must apply to all ‘Bs’ without exception. Adding exceptions to such logical schemas has had little success’ [39]. Therefore, in GALEN or any other system based on description logic, statements in definitions and descriptions are ‘indefeasible’– i.e. must apply to all subconcepts without exception. T ...
Fundamentals of Computational Intelligence
Fundamentals of Computational Intelligence

... The course introduces novel concepts in computational intelligence based techniques. It includes concepts on knowledge based reasoning, fuzzy inferencing systems, connectionist modeling based on artificial neural networks, and deep learning. The course material is self-contained but could be used as ...
AI - UTRGV Faculty Web
AI - UTRGV Faculty Web

... Expands a node with the lowest path cost. Only cares about the total cost and does not care about the number of steps a path has. ...
knowledge base
knowledge base

... engineer over a long period of time, and although experts are capable of using their knowledge for decisionmaking, they are often incapable of articulating their knowledge explicitly in a format that is sufficiently systematic, correct, and complete to be used in a computer application. Jensen, 2005 ...
Philosophy and History of AI
Philosophy and History of AI

... Key events: AI adulthood (barely) • Many commercial expert systems introduced, especially in the 1970s and 1980s • Fuzzy logic and neural networks used in controllers, especially in Japan and Europe • Recent developments and areas of great interest include: – Bayesian reasoning and Bayes nets – Ont ...
De La Salle University • College of Computer Studies Course
De La Salle University • College of Computer Studies Course

... associated with intelligent behavior: (a) problem solving, or the performance of non-trivial, goal-directed cognitive tasks even in the face of inadequate (e.g., incomplete, incorrect, inconsistent, or vague) data; (b) reasoning, or the drawing of logical inferences and conclusions from possibly ina ...
Intelligent Support Systems
Intelligent Support Systems

... without the express written permission of the copyright owner in unlawful. Request for further information should be addressed to the Permissions Department, John Wiley & Son, Inc. Adopters of the textbook are granted permission to make back-up copies for his/her own use only, to make copies for dis ...
Document
Document

... Feature 3: Systems Perspective Research in our paradigm is also distinguished by approaching intelligence from a systems perspective. While most AI efforts idolize component algorithms, work on cognitive systems is concerned with:  How different intellectual abilities interact and fit together  C ...
unit v: intelligent tutoring system and its application
unit v: intelligent tutoring system and its application

... systems programming, although the target is defined more narrowly here: a cognitively valid model of problem solving performance. • The third phase consists of initial tutor implementation, which is followed by a series of evaluation activities: (1) pilot studies to confirm basic usability and educa ...
Artificial Intelligence
Artificial Intelligence

... Communications of the ACM 9(1):36-45, 1966. ...
T - RTU
T - RTU

... An inference rule is sound, if the conclusion is true in all cases where the premises are true. To prove the soundness, the truth table must be constructed with one line for each possible model of the proposition symbols in the premises. In all models where the premise is true, the conclusion must b ...
An Expert System for Automotive Diagnosis
An Expert System for Automotive Diagnosis

... domain. This model is a body of knowledge about the parts of the mechanism or organism they are trying to fix and about how those parts fit together. This model is closely tied to two additional knowledge sources: the expert's formal understanding of the laws of the domain (such as electrical theory ...
A Model of Concurrent COmputation in Distributed Systems
A Model of Concurrent COmputation in Distributed Systems

... designing languages for open systems. If you want to understand the more practical ideas of ecological computation, theory of games, market economies and underlying mechanisms, evolution and biological systems, and so on, there is a lot to gain in terms of conceptual clarity and computational fundam ...
PowerPoint Slides
PowerPoint Slides

...  Artificial Intelligence (AI) is “behavior by a machine that, if performed by a human being, would be called intelligent.”  AI’s ultimate goal is to build machines that will mimic human intelligence. ...
< 1 ... 103 104 105 106 107 108 109 110 111 ... 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