Accession Number : ADA095425


Title :   Matching and Abstraction in Knowledge Systems,


Corporate Author : RAND CORP SANTA MONICA CA


Personal Author(s) : Hayes-Roth,Frederick


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a095425.pdf


Report Date : Jan 1980


Pagination or Media Count : 40


Abstract : The first problem is creating what I'll call a 'Knowledge System,' putting into the computer what people have variously called knowledge, or representations of interesting relationships, or expertise, like what a word means, or how it ought to generate inferences. The second one is getting the system to work. The first problem is a human and theoretical limitation; the second is an engineering limitation. And the third problem is a methodological one. Most of the interesting problems that humans solve are not sovled by following a particular algorithm deterministically to some simple solution. Rather, solutions are usually selected from a large set of possible, more or less 'good' answers to a question; that is, a simple question to retrieve some information usually produces a number of partially correct responses, and that produces a requirement to search a set of alternatives for the preferred ones.


Descriptors :   *INFORMATION THEORY , *INFORMATION SCIENCES , COMPUTER LOGIC , COMPUTER PROGRAMMING , PROGRAMMING LANGUAGES , SEMANTICS , INFORMATION RETRIEVAL , PATTERN RECOGNITION , DATA DISPLAYS , HIERARCHIES , MATCHING , COMPOSITE IMAGES


Subject Categories : Information Science
      Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE