Accession Number:

ADA026370

Title:

Very Large Planner-Type Data Bases.

Descriptive Note:

Memorandum rept.,

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s):

• McDermott,Drew V.

Report Date:

1975-09-01

Pagination or Media Count:

54.0

Abstract:

This paper describes the implementation of a typical data-base manager for an AI language like Planner, Conniver, or QA4, and some proposed extensions for applications involving greater quantities of data than usual. The extensions are concerned with data bases involving several active and potentially active sub-data bases, or contexts. The major mechanisms discussed are the use of contexts as packets of data with free variables and indexing data according to the contexts they appear in. The paper also defends the Planner approach to data representation against some more recent proposals. Author

Descriptors:

• *DATA BASES
• *DATA MANAGEMENT
• *DATA STORAGE SYSTEMS
• *ARTIFICIAL INTELLIGENCE
• COMPARISON
• PROGRAMMING LANGUAGES
• PATTERNS
• INDEXES
• SYMBOLIC PROGRAMMING

Subject Categories:

• Computer Programming and Software
• Computer Hardware
• Bionics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE