Date of Award
1987
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
Conceptual graphs form the basis of a powerful representation language for artificial intelligence research. SCHEMATIC is a system that uses a subset of conceptual graph theory in acquiring knowledge about a given domain. SCHEMATIC exhibits two types of learning. It will passively absorb information as imparted by the teacher, and it also has an active learning mode that, based on its current picture of the domain, aggressively queries the teacher for more information. The knowledge base, including the concept type hierarchy, the relation list, canonical forms, and the current domain, are dynamically maintained. Teacher interaction is handled exclusively with conceptual graphs. Action concepts are treated differently by SCHEMATIC, in that, once defined, they execute procedures that alter the domain.
Extent
221 p.
Recommended Citation
HALTERMAN, RICHARD L., "SCHEMATIC: AN EXPERIMENT IN MACHINE LEARNING USING CONCEPTUAL GRAPHS" (1987). Electronic Theses and Dissertations 1980 - 1989. 582.
https://digitalcommons.fau.edu/etd_general_3/582
Identifier
FADT14421
Comments
Thesis (M.S.)--Florida Atlantic University, 1987.|Thesis (M.S.)--Florida Atlantic University, 1987.