MODELS OF COMMAND AND CONTROL SYSTEMS (WITH APPLICATIONS TO EXERCISE AND EVALUATION)
Abstract
Five models of the activities of command and control systems are described to provide a precise, if not necessarily quantitative, framework within which the behavior of command and control systems can be studied. The Deductive Inference Model describes information processing as the manipulation of strings according to explicitly given rules. In terms of such a description, this model deals with the processes of problem identification and problem solving. The Inductive Inference Model deals with information processing for which the system must derive the rules that are to be used. It relates the assumptions that such a system makes and the inductive strategies that it uses to the adequacy of its predictions and generalizations. The Value Model treats a command and control system as a system that applies the values of the commander. It attempts to relate measurable features of the values held by personnel to the kinds of decisions that they make. The Semantic Model tries to deal with the manner in which command and control systems and their personnel represent their information about their environment. The Finite Automaton Model treats a command and control system and exercise controllers in certain types of controlled exercises as coupled sequential machines (finite automata). It provides a vehicle for studying the ability of the exerciser to control the behavior of the system and for studying an exercise as a learning situation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1965
- Accession Number
- AD0615549
Entities
People
- Martin F. Owens
- Peter Kugel