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Models, information, and systems viability
Author(s) -
De Raadt J. D. R.
Publication year - 1988
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.3830330407
Subject(s) - information system , statement (logic) , viable system model , computer science , risk analysis (engineering) , living systems , management science , business , economics , artificial intelligence , engineering , political science , law , electrical engineering , cybernetics
Every system (whether it be a self‐directed missile, a predator, a man, or an organization) needs a model with sufficient information to accomplish its purpose and be viable. The quantity of required information is determined by the uncertainty and the complexity of the environment in which the system operates and the level of success which is necessary for the system to be deemed as viable. The relationship among uncertainty, complexity, information, and success can be stated in a quantitative manner. This investigation translates this quantitative statement into a number of hypotheses which are empirically tested using data collected among insurance agents. The hypotheses apply to living systems at the level of individuals, groups, organizations, and societies.