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On theories, taxonomies, and models as communication codes for organizing information
Author(s) -
Deutsch Karl W.
Publication year - 1966
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830110102
Subject(s) - range (aeronautics) , originality , computer science , margin (machine learning) , value (mathematics) , information theory , communication theory , power (physics) , predictive power , artificial intelligence , theoretical computer science , epistemology , machine learning , sociology , psychology , mathematics , social psychology , communication , statistics , physics , quantum mechanics , philosophy , materials science , creativity , composite material
Theories, taxonomies, models, and schemes for information classification and retrieval all can be evaluated from the viewpoint of communication theory, by their performance characteristics as languages or codes for organizing information. Specific performance tests for any theory include its organizing power, predictive range, average error margin, economy of categories, operating rules and social cost of adoption, originality, fruitfulness, and probability of transcending itself. Here examples are given from current theories of nationalism, power, and value.