Matches in SemOpenAlex for { <https://semopenalex.org/work/W4247484988> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4247484988 endingPage "36" @default.
- W4247484988 startingPage "29" @default.
- W4247484988 abstract "Since 1984, it is enormous work going on for the accomplishing of the project Cyc (‗Saik‘). This work is based on knowledge of ―Artificial Intelligence‖ which is developed by the Cycorpcompany and by Douglas Lenat at MCC. It‘s a Microelectronics and Computer Technology Corporation (MCC) part for so long. The dominant aim of Cycorp to develop this system is to just clarify anything in semantical determination rather than syntactically determination of words commands by the machine in which Cyc is installed to do some job. The other objective was in the building of Cyc is to codify, in a form which is usable by the machine, where knowledge‘s millions piece that composes common sense of a normal human or the common sense made in the human brain. Cyc presents a proprietary schema of knowledge representation that utilized first-order relationships. The relationships that presents between first-order logic (FOL) and first-order theory (FOT). After a long time, in1986, Cyc’s developer (Douglas Lenat) estimate that the total effort required to complete Cyc project would be 250,000 rules and 350 man-years. In 1994, Cyc Project was the reason behind creating independency into Cycorp, in Austin, Texas. As it is a common phrase that Every tree is a plant and Plants die eventually so that why by the mean of this some knowledge representing pieces which are in the database are like trees and plants like structures. The engine is known as an inference engine, able to draw the obvious results and answer the questions correctly on asking that whether trees die. The Knowledge Base (KB) system, which is included in Cyc, contains more than one million humans like assertions, rules or commonsense ideas. These ideas, rules, and human-defined assertions are describing or formatted in the language known as CycL. They are based on the predication of calculus and many otherhuman-based sciences, which has syntax similar to that of the language ―LISP‖. Though some extend the work on the Cyc project continues as a ―Knowledge Engineering‖, which represents some facts about the world, and implementing effective mechanisms which are derived after reaching the basic level conclusion on that knowledge. As Cyc include the firstorder logic and first order theory, which exist in some relationship; so it definitely uses and handle some other branches for human-interaction like mathematics, philosophy, and linguistics. However, increasingly, the other aim of Cycorp while developing Cyc is involvingan ability, which is given to the Cyc system that it can communicate with end users, by use of CycL, processing of natural language, and can assist with the knowledge formation process through the machine learning." @default.
- W4247484988 created "2022-05-12" @default.
- W4247484988 creator A5084319770 @default.
- W4247484988 date "2017-12-29" @default.
- W4247484988 modified "2023-09-30" @default.
- W4247484988 title "ARTIFICIAL INTELLIGENCE AND CYC" @default.
- W4247484988 doi "https://doi.org/10.54692/lgurjcsit.2017.010412" @default.
- W4247484988 hasPublicationYear "2017" @default.
- W4247484988 type Work @default.
- W4247484988 citedByCount "0" @default.
- W4247484988 crossrefType "journal-article" @default.
- W4247484988 hasAuthorship W4247484988A5084319770 @default.
- W4247484988 hasBestOaLocation W42474849881 @default.
- W4247484988 hasConcept C119857082 @default.
- W4247484988 hasConcept C136764020 @default.
- W4247484988 hasConcept C154945302 @default.
- W4247484988 hasConcept C161301231 @default.
- W4247484988 hasConcept C17744445 @default.
- W4247484988 hasConcept C197129107 @default.
- W4247484988 hasConcept C199539241 @default.
- W4247484988 hasConcept C204321447 @default.
- W4247484988 hasConcept C23123220 @default.
- W4247484988 hasConcept C2776214188 @default.
- W4247484988 hasConcept C2779814899 @default.
- W4247484988 hasConcept C2780615836 @default.
- W4247484988 hasConcept C41008148 @default.
- W4247484988 hasConcept C46743427 @default.
- W4247484988 hasConcept C52146309 @default.
- W4247484988 hasConceptScore W4247484988C119857082 @default.
- W4247484988 hasConceptScore W4247484988C136764020 @default.
- W4247484988 hasConceptScore W4247484988C154945302 @default.
- W4247484988 hasConceptScore W4247484988C161301231 @default.
- W4247484988 hasConceptScore W4247484988C17744445 @default.
- W4247484988 hasConceptScore W4247484988C197129107 @default.
- W4247484988 hasConceptScore W4247484988C199539241 @default.
- W4247484988 hasConceptScore W4247484988C204321447 @default.
- W4247484988 hasConceptScore W4247484988C23123220 @default.
- W4247484988 hasConceptScore W4247484988C2776214188 @default.
- W4247484988 hasConceptScore W4247484988C2779814899 @default.
- W4247484988 hasConceptScore W4247484988C2780615836 @default.
- W4247484988 hasConceptScore W4247484988C41008148 @default.
- W4247484988 hasConceptScore W4247484988C46743427 @default.
- W4247484988 hasConceptScore W4247484988C52146309 @default.
- W4247484988 hasIssue "4" @default.
- W4247484988 hasLocation W42474849881 @default.
- W4247484988 hasOpenAccess W4247484988 @default.
- W4247484988 hasPrimaryLocation W42474849881 @default.
- W4247484988 hasRelatedWork W10134083 @default.
- W4247484988 hasRelatedWork W13150902 @default.
- W4247484988 hasRelatedWork W1342954 @default.
- W4247484988 hasRelatedWork W15433741 @default.
- W4247484988 hasRelatedWork W1645439 @default.
- W4247484988 hasRelatedWork W2085493 @default.
- W4247484988 hasRelatedWork W234105 @default.
- W4247484988 hasRelatedWork W3347106 @default.
- W4247484988 hasRelatedWork W4305365 @default.
- W4247484988 hasRelatedWork W58909 @default.
- W4247484988 hasVolume "1" @default.
- W4247484988 isParatext "false" @default.
- W4247484988 isRetracted "false" @default.
- W4247484988 workType "article" @default.