Accession Number : ADA307260

Title :   Application of Artificial Intelligence in Decision Making in Mine Countermeasures.

Descriptive Note : Technical rept.,

Corporate Author : DEFENCE SCIENCE AND TECHNOLOGY ORGANIZATION CANBERRA (AUSTRALIA)

Personal Author(s) : Mansell, T. M. ; Skinner, D. R. ; Benke, K. K.

PDF Url : ADA307260

Report Date : DEC 1995

Pagination or Media Count : 59

Abstract : A number of analytic techniques used in Artificial Intelligence are examined in the context of decision making in mine countermeasures. Attention is directed at five major techniques, involving statistical inference, probabilistic inference, evidential reasoning, fuzzy logic and artificial neural networks. In the cases of statistical inference and evidential reasoning, solutions to appropriate problems are described. Eleven other techniques are dealt with more briefly, in most cases with worked examples of appropriate naval application. The main conclusion reached is that, in view of the probable shortage of accurate information under operational conditions, evidential reasoning and fuzzy logic are likely to be the most appropriate means for presenting relevant data to decision makers, and that artificial neural networks will be useful for representing complicated or empirical relationships between observed factors.

Descriptors :   *DECISION MAKING, *MINE COUNTERMEASURES, *ARTIFICIAL INTELLIGENCE, NEURAL NETS, STATISTICAL INFERENCE, REASONING, PROBABILITY, MATHEMATICAL LOGIC, ACCURACY, PROBLEM SOLVING, SOLUTIONS(GENERAL), MATHEMATICAL ANALYSIS, MILITARY APPLICATIONS, FUZZY SETS, AUSTRALIA.

Subject Categories : Cybernetics
      Land Mine Warfare

Distribution Statement : APPROVED FOR PUBLIC RELEASE