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Alpert, Murray; Rosen, Anna – Journal of Communication Disorders, 1990
This paper considers meanings used for the terms "affect,""emotion," and "mood" and suggests that feeling states should be defined in terms of duration, subjectivity/objectivity, the role of cognition, and the phenomenological level. A study of patients' facial expression and vocal acoustics is described to offer empirical support for the…
Descriptors: Affective Behavior, Classification, Emotional Disturbances, Emotional Experience

Tager-Flusberg, Helen – Child Development, 1985
Findings suggest that semantic knowledge for concrete objects is represented and organized in similar ways in autistic, retarded, and normal children. Previous findings on cognitive deficits in autistic children are more likely related to their inability to use cognitive representations in an appropriate and flexible manner. (Author/RH)
Descriptors: Autism, Classification, Cognitive Ability, Comparative Analysis

Lee, Carolyn P.; Obrzut, John E. – Journal of Learning Disabilities, 1994
This study investigated taxonomic clustering and use of frequency associations as features in the semantic memory of children (n=30 in grades two and six) with learning disabilities (LD). Results suggested that, when individual child-generated word lists (i.e., meaningful) are used, children with LD may not be impaired in their ability to utilize…
Descriptors: Age Differences, Classification, Cognitive Processes, Elementary Education
Rumelhart, David E.; Norman, Donald A. – 1983
This paper reviews work on the representation of knowledge from within psychology and artificial intelligence. The work covers the nature of representation, the distinction between the represented world and the representing world, and significant issues concerned with propositional, analogical, and superpositional representations. Specific topics…
Descriptors: Artificial Intelligence, Classification, Generalization, Literature Reviews
Otanes, Fe T., Ed.; Hale, Austin, Ed. – 1983
A collection of three papers written at a workshop on discourse grammar in Philippine languages is presented. The aims of the workshop were to (1) focus on discourse level grammar in the languages studied; (2) identify contrastive discourse types (genre) in the surface grammar; (3) identify the semantic constructions encoded by the different…
Descriptors: Classification, Discourse Analysis, Expressive Language, Foreign Countries

Dolby, James L. – Information Processing and Management, 1984
Suggests structure based on two sets of principles for deriving meaning from data: Shannon's measure of entropy, which provides means of measuring amount of information in message; and Ranganathan's faceted classification scheme, which provides means of determining number of meaningful data. Syntax, meaning, and semantics of data are discussed.…
Descriptors: Classification, Communication (Thought Transfer), Data, Data Analysis
Wittrock, Merlin C. – 1989
Concepts in cognitive psychology are applied to the language used in military situations, and a sentence classification system for use in analyzing military language is outlined. The system is designed to be used, in part, in conjunction with a natural language query system that allows a user to access a database. The discussion of military…
Descriptors: Classification, Cognitive Psychology, Discourse Analysis, Inferences

Vickery, Alina; And Others – Journal of Documentation, 1987
Describes PLEXUS, an expert system for information retrieval related to gardening, designed at the University of London for use in public libraries. Focusing on the semantic problems encountered, methods used in artificial intelligence and information science to resolve them are discussed, including classification and facet analysis. (Author/LRW)
Descriptors: Artificial Intelligence, Classification, Databases, Developed Nations
Cataldo, Donna; Arsenault, Joseph – 1987
A study examined the identification of distinct subgroups of learning-disabled young adults based on their ability to generate written language. Two subgroups of learning-disabled college students, the language strong/visually weak (N=22) and the visually strong/language weak (N=10), were identified based on evaluation of 32 essays. Subjects were…
Descriptors: Classification, Cognitive Style, College Students, Expressive Language