Accession Number : AD0709332

Title :   AN APPROACH TO ARTIFICIAL NONSYMBOLIC COGNITION,

Corporate Author : ILLINOIS UNIV URBANA COORDINATED SCIENCE LAB

Personal Author(s) : Preparata,Franco P. ; Ray,Sylvian R.

Report Date : JUL 1970

Pagination or Media Count : 36

Abstract : The paper describes an approach to the artificial recognition of events of a nonsymbolic nature, such as the bidimensional perspective views of scenes of the everyday world. Scenes are presented as colored pictures and the objective of the cognitive task is the labeling of the interpreted scene objects. The method is based on three major components: a preprocessed version of the scene (stimulus), a semantic map, and an algorithm which attempts interpretation of the stimulus under the guidance of the semantic map. The algorithm is sequential and proceeds from general to specific, thereby achieving efficient tree-pruning (contextual elimination). Stimulus interpretation is based on attribute-value matching, but classification relies strongly on the accumulated context. Backtracking provisions are available for correction of earlier wrong hypotheses. Experiments are presented and described. (Author)

Descriptors :   (*ARTIFICIAL INTELLIGENCE, PATTERN RECOGNITION), (*PHOTOGRAPHIC IMAGES, MATHEMATICAL MODELS), SEMANTICS, MAPS, ALGORITHMS, SUBROUTINES, SET THEORY, PERFORMANCE(HUMAN)

Subject Categories : Cybernetics
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE