Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. Computer Science and Artificial Intelligence Lab (CSAIL)
  3. Artificial Intelligence Lab Publications
  4. AI Working Papers (1971 - 1995)
  5. Simulating a Semantic Network in LMS

Simulating a Semantic Network in LMS

Thumbnail Image
Download
Name

AI_WP_206.pdf

Description
Main article
Size

1.7 MB

Format

Adobe PDF

Checksum (MD5)

59b306f08f27b48f6cd770d155b93f27

Author(s)
Koton, Phyllis A.
Date Issued
September 29, 1980
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-206
Abstract
A semantic network is a collection of nodes and the links between them. The nodes represent concepts, functions and entities, and the links represent relationships between varoius nodes. Any semantic network must be supplied with a language of conventions for representing knowledge as nodes and links in the network, so that storage and retrieval of knowledge can be carried out efficiently. This thesis examines two approaches to the problem of representing real-world knowledge in a computer: one designed for use on serial computers, the other design to run on a parallel network machine. The two formalisms are shown to be nearly identical, and a simulation of the parallel language in the serial language is given.
Description
Submitted to the Department of Electrical Engineering and Computer Science on January 1, 1980 in partial fulfillment of the requirements for the Degree of Bachelor of Science.
Persistent DSpace Link
http://hdl.handle.net/1721.1/41036
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.