DocumentCode :
2593043
Title :
Neural styled decision-aiding network
Author :
Cotton, W.
Author_Institution :
Dept. of Defense, Laurel, MD
fYear :
1991
fDate :
13-16 Oct 1991
Firstpage :
1505
Abstract :
The primary objective of the work described is to synthesize a flexible neural styled decision-aiding network capable of supporting competitive players engaged in two-person positional games. The approach is to develop some experimental games, to present a heuristic analysis, and finally to interpret the heuristic as an artificial neural net. A novel control scheme is introduced for deterministic net convergence. Briefly explored are some analogies existing between the network model and natural thought processes, vision processing in the brain, and realization of human-machine interfaces without extensive programming
Keywords :
decision theory; games of skill; heuristic programming; neural nets; deterministic net convergence; flexible neural styled decision-aiding network; game of skills; heuristic analysis; neural net; two-person positional games; Artificial neural networks; Biological neural networks; Biological system modeling; Biology computing; Brain modeling; Convergence; Humans; Man machine systems; Network synthesis; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
Type :
conf
DOI :
10.1109/ICSMC.1991.169901
Filename :
169901
Link To Document :
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