Knowledge representation and knowledge programming for artificial intelligence (Jan. 86-Dec. 86)
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Knowledge representation and knowledge programming for artificial intelligence (Jan. 86-Dec. 86) citations from the INSPEC, Information Service for the Physics and Engineering Communities database.

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Published by National Technical Information Service in Springfield, Va .
Written in English

Subjects:

  • Artificial intelligence -- Bibliography.,
  • Expert systems (Computer science) -- Bibliography.

Book details:

Edition Notes

SeriesPB87-853115
ContributionsINSPEC (Information retrieval system)
The Physical Object
FormatMicroform
Pagination1 microfiche (90 fr.). --
Number of Pages90
ID Numbers
Open LibraryOL22077030M

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The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book Cited by: Knowledge representation and reasoning (KR², KR&R) 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 . Knowledge representation (KR) is the name we give to how we encode knowledge, beliefs, actions, feelings, goals, desires, preferences, and all other mental states in artificial systems. As nearly all of AI research is done by programming . Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing Cited by:

  Knowledge representation and knowledge engineering are central to classical AI research. Some "expert systems" attempt to gather together explicit knowledge possessed by experts . It assumes a basic knowledge of computing and a familiarity with the principles of elementary formal logic would be advantageous.****Knowledge Representation: An Approach to Artificial Intelligence . Bernhard Nebel, in International Encyclopedia of the Social & Behavioral Sciences (Second Edition), Abstract. Knowledge representation (see Knowledge Representation) and reasoning plays a . Knowledge representation and reasoning (KR, KRR) is the part of Artificial intelligence which concerned with AI agents thinking and how thinking contributes to intelligent behavior of agents. It is responsible .

Chapter 14 Knowledge Representation and Reasoning Knowledge itself is power. —Francis Bacon (–) The power resides in the knowledge. —Edward Feigenbaum Stanford University Heuristic Programming Project Knowledge is Knowledge, and - Selection from Paradigms of Artificial Intelligence Programming [Book]. This is an example of representing simple relational knowledge. 2. Inheritable Knowledge. In the inheritable knowledge approach, all data must be stored into a hierarchy of classes and should be Author: Sayantini. Book Description. This in-depth introduction to knowledge representation and reasoning and their use in designing agents for answering logical and probabilistic queries, planning, diagnostics, and other intelligent tasks is based on answer set programming 4/5(5). A semantic net (or semantic network) is a knowledge representation technique used for propositional information. So it is also called a propositional net. Semantic nets convey meaning. They are two .